# Databricks Reviews
**Vendor:** Databricks Inc.  
**Category:** [Big Data Processing And Distribution Systems](https://www.g2.com/categories/big-data-processing-and-distribution)  
**Average Rating:** 4.6/5.0  
**Total Reviews:** 769
## About Databricks
Databricks is a unified data and AI platform that helps organizations build, govern and scale data pipelines, analytics, machine learning, AI applications and agents. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on Databricks to work with enterprise data and AI at scale. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase, Genie and Unity Catalog. Founded in 2013 by the original creators of Apache Spark™, Delta Lake, MLflow and Unity Catalog, Databricks is built on an open lakehouse architecture that brings data, analytics and AI together. The platform is used by data engineers, data scientists, analysts, developers, machine learning teams, AI teams and business users to collaborate across the full data and AI lifecycle. Key Databricks capabilities include: - Data engineering: Build, automate and manage reliable batch, streaming and real-time data pipelines. - Analytics and business intelligence: Run SQL analytics, create dashboards and enable business teams to explore data. - Data governance: Discover, secure and manage data and AI assets across teams, clouds and workloads. - Machine learning and AI: Develop models, build generative AI applications and create production-grade AI agents. - Data applications: Build and deploy data-driven applications using governed enterprise data. Available across AWS, Azure and Google Cloud, Databricks helps organizations work across clouds, reduce data silos and simplify collaboration across teams and tools. Customers use Databricks for use cases such as customer personalization, fraud detection, predictive maintenance, real-time analytics, cybersecurity, healthcare research, financial risk management, supply chain optimization and AI-powered decision-making. Databricks is used across industries including financial services, healthcare and life sciences, retail, manufacturing, energy and the public sector. Organizations use the platform to modernize data infrastructure, accelerate AI adoption and turn enterprise data into business value.



## Databricks Pros & Cons
**What users like:**

- Users appreciate the **exceptional AI features and robust data security** of Databricks, enhancing their machine learning capabilities. (288 reviews)
- Users value the **ease of model hosting and serving** with Databricks, enhancing efficiency and integration with AWS. (278 reviews)
- Users value the **seamless integrations** of Databricks, enabling efficient data handling and collaboration within a unified environment. (189 reviews)
- Users value the **real-time collaboration** in Databricks, enhancing teamwork between data engineers and analysts effectively. (150 reviews)
- Users value the **effective data management features** of Databricks, enhancing decision-making and integrating seamlessly with various data processes. (150 reviews)
- Users appreciate the **easy integrations** of Databricks, seamlessly connecting with cloud infrastructure and enhancing data management. (148 reviews)
- Analytics (139 reviews)
- Machine Learning (136 reviews)
- ML Integration (135 reviews)
- Scalability (134 reviews)

**What users dislike:**

- Users face a **steep learning curve** with Databricks, hindering easy adoption and understanding for new users. (112 reviews)
- Users find the **costs to be high** for using Databricks, especially with large data workloads. (97 reviews)
- Users note a **steep learning curve** for new users, making adoption and management more challenging. (96 reviews)
- Users express frustration over **missing features** in Databricks, hindering functionality and slowing down development processes. (69 reviews)
- Users note the **steep learning curve** for new members and integration challenges, adding unnecessary complexity to usage. (64 reviews)
- Users face **unintuitive UI issues** that lead to random errors and complicate the experience for non-technical users. (61 reviews)
- Performance Issues (57 reviews)
- Poor UI Design (53 reviews)
- Difficult Learning (51 reviews)
- Complex Setup (45 reviews)

## Databricks Reviews
  ### 1. Databricks the essential platform

**Rating:** 5.0/5.0 stars

**Reviewed by:** Claudia W. | Marketing Team, Mid-Market (51-1000 emp.)

**Reviewed Date:** April 23, 2024

**What do you like best about Databricks?**

Databricks Data Intelligence Platform contains different functionalities which allows data analysis to be easily and efficiently, allows monitoring the processes and contains a tutorial that explains its basic functions which is a great help if you have no previous knowledge, thanks to this platform I have managed to create data tables and configure them in a specific way. Successfully integrates with other tools.

**What do you dislike about Databricks?**

Databricks crashes and shuts down unexpectedly, however it is something that can be fixed.

**What problems is Databricks solving and how is that benefiting you?**

Databricks is easy to use and collaborative, it is indispensable for my business use, it provides me with tools such as Apache Spark, Delta Lkae, everything I need on a single platform, being a safe place.

**Official Response from Aunalisa Arellano:**

> Thank you for sharing your positive experience with Databricks Data Intelligence Platform. We understand the frustration caused by unexpected product downtime, and we are committed to addressing this issue to ensure a more reliable platform for all our users.

  ### 2. The solution you should use to analyze and unify your data.

**Rating:** 5.0/5.0 stars

**Reviewed by:** gabe p. | Digital Marketing Director, Small-Business (50 or fewer emp.)

**Reviewed Date:** April 23, 2024

**What do you like best about Databricks?**

Databricks is the platform that every company needs if they want to process and analyze their data quickly and securely, the technology it offers allows the organization and safeguarding of data is much easier for the user who uses it, offering management capabilities and a variety of tools that adjust to user preferences.

**What do you dislike about Databricks?**

I would like this platform to incorporate much more alternatives based on artificial intelligence.

**What problems is Databricks solving and how is that benefiting you?**

since I started using this platform I was able to solve numerous technical problems that I constantly had when processing all kinds of data, I started to protect and secure my company data in a better way.

**Official Response from Aunalisa Arellano:**

> We're glad to hear that you find Databricks Data Intelligence Platform helpful for processing and analyzing data quickly and securely. We appreciate your feedback about incorporating more alternatives based on artificial intelligence, and we'll definitely consider it for future enhancements.

  ### 3. Databricks has being able to allow me better  technical solution by being in the edge of data

**Rating:** 5.0/5.0 stars

**Reviewed by:** William M. | Lead Data Engineer | Founder Lenotis Data, Enterprise (> 1000 emp.)

**Reviewed Date:** February 01, 2024

**What do you like best about Databricks?**

I've being using Azure Databricks everyday for the last 5 years, it allow easy corporate level security and governance. Relieve us on the need to deal with the setting up of clusters and bring to us the most up to date technologies in the data world.
The customer support has been effective,  with people that really want to help. We were able to integrate with the Azure services, usually easier then when use native Azure like Data Factory and Synapses.

**What do you dislike about Databricks?**

The notebook only concept was the most downside of Databricks, Not being able to follow the usual ways of working of the development was really critical, even though the notebooks allow easy testing and data analysis. Gladly it was solved it year by a better integration with IDEs

**What problems is Databricks solving and how is that benefiting you?**

Enabling building ETL Pipelines that make governance, security and robustness out of the box

**Official Response from Aunalisa Arellano:**

> We're delighted to hear that Azure Databricks has been instrumental in enabling you to build ETL pipelines with governance, security, and robustness. We appreciate your feedback about the notebook-only concept and will share this information with the team. 

  ### 4. Data Data Intelligence Platform everything you need

**Rating:** 5.0/5.0 stars

**Reviewed by:** Aharon G. | Mid-Market (51-1000 emp.)

**Reviewed Date:** April 22, 2024

**What do you like best about Databricks?**

Databricks Data Intelligence Platform has all the benefits for the use of my company, I have managed to have records quickly, it provides quick access to the information that is needed in a simple way, it has different languajes added, it is perfect for use by companies, i use it frequently.

**What do you dislike about Databricks?**

I have no complaints about Databricks Data Intelligence Platform

**What problems is Databricks solving and how is that benefiting you?**

Databricks Data Intelligence Platform allows me to acess the data drom anywhere, being a safe and reliable place, which I would definitely recommend to all companies that want to have an easy to use and innovative tool.

**Official Response from Aunalisa Arellano:**

> We appreciate your positive review of Databricks Data Intelligence Platform. It's great to hear that it is helping you access data quickly and easily, and we're glad to have you as a satisfied user.

  ### 5. Databricks & UC

**Rating:** 5.0/5.0 stars

**Reviewed by:** Harshit S. | Intern, Enterprise (> 1000 emp.)

**Reviewed Date:** April 12, 2024

**What do you like best about Databricks?**

The seamless integration and easy use of catalog and lakehouse federation and the easy implementation of pipelines using DLT without configuration overhead. Foregin catalog implementation ,which makes data available for frequent use and the best in class customer support helps whenever I am stuck.

**What do you dislike about Databricks?**

Initially for a company which just starting and for a single user , costing can be a issue.

**What problems is Databricks solving and how is that benefiting you?**

Problem of having n number of security models is easily handles by Unity Catalog,
Having one platform where I can govern and keep an eye on all my data and keep check on users , is a real blessing.

**Official Response from Aunalisa Arellano:**

> Thank you for sharing your positive experience with Databricks Data Intelligence Platform. We're thrilled to hear that the foreign catalog implementation and customer support have been valuable to you. We understand the importance of cost considerations, especially for new companies, and we are continuously working to provide cost-effective solutions.

  ### 6. Excellent perfomance at all times

**Rating:** 5.0/5.0 stars

**Reviewed by:** Alicent S. | Marketing Team, Small-Business (50 or fewer emp.)

**Reviewed Date:** April 21, 2024

**What do you like best about Databricks?**

Databricks Data Intelligence Platform is the best platform because it gives me a good performance in my daily tasks, I like it because it provides a wide information, it is easy to understand and confirm. It allows me to create and implement solutions efficiently.

**What do you dislike about Databricks?**

Databricks Data Intellligence Platform is a very good platform, I don't dislike anything.

**What problems is Databricks solving and how is that benefiting you?**

Databricks Data Intelligence Platform facilitates the creation of profiles guarantees the protection of data, making us feel safe as a company and reduce user complaints. It is undoubtedly the best platform we have found at the enterprise level.

**Official Response from Janelle Glover:**

> Thank you for your positive feedback! We're glad that Databricks Data Intelligence Platform is meeting your needs and helping you create and implement solutions efficiently.

  ### 7. Best review

**Rating:** 4.5/5.0 stars

**Reviewed by:** RAJAT KUMAR M. | Data Engineer, Small-Business (50 or fewer emp.)

**Reviewed Date:** July 23, 2024

**What do you like best about Databricks?**

It's very helpful and working smoothly
Anyone can access these platform which is the main point

**What do you dislike about Databricks?**

Need to provide more free content and always notify users before any event

**What problems is Databricks solving and how is that benefiting you?**

My organisation is a partner so I am using this as my daily to daily activity that's really helpful

**Official Response from Janelle Glover:**

> Thank you for your positive review! We're happy to hear that our platform is working smoothly for you and benefiting your daily activities. We will definitely consider your suggestions for providing more free content and better event notifications.

  ### 8. Great product for data engineering - playing with data gets easy.

**Rating:** 4.0/5.0 stars

**Reviewed by:** Kamaljeet S. | Software Engineer, Information Technology and Services, Mid-Market (51-1000 emp.)

**Reviewed Date:** April 02, 2024

**What do you like best about Databricks?**

Creation of data product with databricks gets easy. we can easily deliver our product to the clients on time.
Data ingeston and data curation with great performance makes the work easy.
cost effective- Launching of clusters and gets stop after work save much cost as using other data performance tools.
Understandable architecture with a sequence helps to manage the tool.
Customer support is awesome , they helps to solve all the issues i faced.
Integration and setup of databricks using terraform helps alot to manage the workspace .

**What do you dislike about Databricks?**

It took much amount of time to restart a cluster . This should be improved.

**What problems is Databricks solving and how is that benefiting you?**

z

**Official Response from Aunalisa Arellano:**

> Thank you for sharing your positive experience with Databricks Data Intelligence Platform! We're thrilled to hear that you find our platform easy to use, cost-effective, and supported by great customer service. Your feedback about cluster restart time is noted, and we will work on improving this aspect for a better user experience. We're glad to be helping you save costs and work efficiently with our platform. If you have any further suggestions or need assistance, please feel free to reach out. We appreciate your support and look forward to continuing to serve you!

  ### 9. An excellent product that solves problems with data and machine learning

**Rating:** 5.0/5.0 stars

**Reviewed by:** Boita B. | Consultant, Small-Business (50 or fewer emp.)

**Reviewed Date:** April 24, 2024

**What do you like best about Databricks?**

I like this technology because of its great user portal that integrates with AWS and is excellent for machine learning and artificial intelligence. I like managing data and the interface is nice because it gives us a good, complete and flexible working environment.

**What do you dislike about Databricks?**

This product still needs improvement, especially in data engineering.

**What problems is Databricks solving and how is that benefiting you?**

The problems it solves are data warehousing, data science, management and analysis of large amounts of data. And it is enjoyable to use because it is convenient and allows you to work with large-scale data sets and collaborate in teams.

**Official Response from Aunalisa Arellano:**

> We are thrilled to hear that our platform is helping you with data warehousing, data science, and data analysis. We value your input on the areas where you believe we can improve, and we will take your feedback into consideration as we continue to evolve our platform.

  ### 10. The software you need to organize your data.

**Rating:** 5.0/5.0 stars

**Reviewed by:** adrian C. | Instructional Designer, Enterprise (> 1000 emp.)

**Reviewed Date:** April 23, 2024

**What do you like best about Databricks?**

if you want to improve the control and processing of all your data through a fully centralized platform you should start using this software as soon as possible, its innovative tools and resources will allow you to achieve all your goals.

**What do you dislike about Databricks?**

I can say that this platform is great, but I wish I could count new features every week.

**What problems is Databricks solving and how is that benefiting you?**

thanks to this software I was able to solve control and data location problems that my company suffered for a long time, it greatly improved the operational performance of all our data.

**Official Response from Aunalisa Arellano:**

> It's great to hear that Databricks Data Intelligence Platform has helped you solve control and data location problems, improving your company's operational performance.

  ### 11. Great platform for scale and muli-users

**Rating:** 4.5/5.0 stars

**Reviewed by:** K K. | Digital Designer, Enterprise (> 1000 emp.)

**Reviewed Date:** March 10, 2024

**What do you like best about Databricks?**

The web interface allows for testing codes and scripts and making quick review tables before the implementation of pipelines. Otherwise the setup and navigation is quite initiative to manage. Finding some configuration takes a trip to the help docs but they are always clear and well linked to keep progress going.

**What do you dislike about Databricks?**

First-time cloud users might struggle unless they have been exposed to similar tools. My largest issue is with our company's admin and their anti-trust of staff. We have limited access to the full power of the platform, which means that, realistically, it is being used for much less than it is capable of.

**What problems is Databricks solving and how is that benefiting you?**

It creates a data warehouse for the global team to access the same tables with minimal impact on each other's work performance. It also allows the development and testing of queries to ensure they are optimised and return the expected results.

Calculations and analysis flows can be developed to expand the available data.

**Official Response from Aunalisa Arellano:**

> We appreciate your feedback and are pleased to hear that our platform is benefiting your team by providing a centralized data warehouse and facilitating query development and testing.

  ### 12. The best platform for data analysis

**Rating:** 5.0/5.0 stars

**Reviewed by:** Maria S. | Telecommunications Engineer , Telecommunications, Mid-Market (51-1000 emp.)

**Reviewed Date:** April 23, 2024

**What do you like best about Databricks?**

Databricks Data Intelligence Platform is easy to integrate because it allows me to eliminate the need to keep numerous copies of the same data by bringing together all the data teams of the entire company on a single platform, it is indispensable for the company since the platform is simple and clear to configure.

**What do you dislike about Databricks?**

The cost is something that Databricks could improve

**What problems is Databricks solving and how is that benefiting you?**

It is reliable and easy to use, configuring and using it does not require much knowledge, it allows me to have a good workflow and easy integration.

**Official Response from Aunalisa Arellano:**

> We're thrilled to hear that Databricks Data Intelligence Platform has been reliable and easy to use for you, allowing for a good workflow and easy integration. We appreciate your feedback about the cost, and we are committed to providing competitive pricing for our platform.

  ### 13. Unified Platform for Big Data and ML.

**Rating:** 4.5/5.0 stars

**Reviewed by:** Becky V. | Sr Princ Software Apps Engineer, Information Technology and Services, Mid-Market (51-1000 emp.)

**Reviewed Date:** September 12, 2024

**What do you like best about Databricks?**

It seamlessly integrates with various data sources, which makes it easy to setup and use. The user-friendly interface enhances user experience.

**What do you dislike about Databricks?**

It can be overwhelming for beginners to navigate all the funtionalities.

**What problems is Databricks solving and how is that benefiting you?**

Databricks Data Intelligence Platoform analyze large datasets very efficiently. It has benefited my team by enhancing productivity and reducing time spent on data preparation.

**Official Response from Janelle Glover:**

> It's great to hear that Databricks has enhanced your team's productivity and reduced time spent on data preparation. We understand that navigating all the functionalities can be overwhelming for beginners, and we are continuously working on improving the user experience for all levels of expertise. 

  ### 14. A good cloud data platform that integrates with AWS

**Rating:** 5.0/5.0 stars

**Reviewed by:** Michael P. | Planning Manager and Project Management, Information Technology and Services, Small-Business (50 or fewer emp.)

**Reviewed Date:** April 22, 2024

**What do you like best about Databricks?**

I like Databrick because this solution is perfect for data in the cloud, easy to develop and always shows good performance. I also like that the data can be accessed using Python and that it offers different coding options.

**What do you dislike about Databricks?**

My biggest problem was in the implementation. It was throwing a lot of errors but everything was solved.

**What problems is Databricks solving and how is that benefiting you?**

This solution helps us store large amounts of data, plus it facilitates digital transformation and warehousing, data and machine science, data warehouse, and its all cloud-based, which is amazing and beneficial.

**Official Response from Aunalisa Arellano:**

> We're glad to hear that you find Databricks Data Intelligence Platform useful and easy to use! Thank you for the feedback. 

  ### 15. The new era of Databricks Data Intelligence Platform for all the AI solutions

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in E-Learning | Small-Business (50 or fewer emp.)

**Reviewed Date:** July 11, 2024

**What do you like best about Databricks?**

Databricks has come up with innovative idea to streamline the idea of creating new solutions that helps the customer leverage their business with their vast services they provide whether it's a retail or fintech, they provide with upbringing and transforming with the public sectors. It has an ease of implementation and integration.

**What do you dislike about Databricks?**

There are no dislikes about the Data Intelligence Platform.

**What problems is Databricks solving and how is that benefiting you?**

Databricks is revolutionizing the modern industry. As an academia I mostly work to research and build products with Databricks Data Intelligence Platform.

**Official Response from Janelle Glover:**

> We're thrilled to hear that you find Databricks Data Intelligence Platform innovative and beneficial for your work in academia. Thank you for sharing your positive experience!

  ### 16. Multifunctional Platform for Data Analytics

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Consulting | Mid-Market (51-1000 emp.)

**Reviewed Date:** January 08, 2025

**What do you like best about Databricks?**

Databricks is a complete platform wherethere users can enjoy a big pool of tools regarding data universe.

**What do you dislike about Databricks?**

I have no bad point about the platform...

**What problems is Databricks solving and how is that benefiting you?**

Find data and informations in a easy way.

**Official Response from Aunalisa Arellano:**

> We're glad to hear that you find Databricks to be a complete platform with a wide range of data tools! Thanks for taking the time to share your thoughts.

  ### 17. DataBricks Data Intelligence Platform Review

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.)

**Reviewed Date:** July 10, 2024

**What do you like best about Databricks?**

easy to use 
community to help as well 
best for begineer as well.

**What do you dislike about Databricks?**

none i like everythinng about the databricks

**What problems is Databricks solving and how is that benefiting you?**

Yes , it help me in big data analytics and data goverence

**Official Response from Janelle Glover:**

> Thank you for sharing your positive experience with Databricks Data Intelligence Platform! We're pleased to hear that you appreciate the number of features available and that it helps your business with big data analytics.

  ### 18. Darabricks Data Intelligence Platform data quality

**Rating:** 5.0/5.0 stars

**Reviewed by:** Patricia G. | Telecommunication Engineer, Mid-Market (51-1000 emp.)

**Reviewed Date:** April 22, 2024

**What do you like best about Databricks?**

Databricks Data Intelligence Platform allows me to perform queries and data analysis in an easy and effective way, providing me with the information I need, my solution has been Databricks because it provides me with optimized workflows.

**What do you dislike about Databricks?**

Databricks Data Intelligence Platform I took time to understand how it worked, it can be improved.

**What problems is Databricks solving and how is that benefiting you?**

Databricks Data Intelligence Platform helps me to process large amounts of data, it is also compatible in several languajes, it is collaborative and accelerates the data analysis process time for the company.

**Official Response from Aunalisa Arellano:**

> We're glad to hear that Databricks Data Intelligence Platform has been effective for your data analysis needs and has optimized your workflows.

  ### 19. Databricks ideal for your company

**Rating:** 5.0/5.0 stars

**Reviewed by:** Clemente V. | Telecommunications Technician, Mid-Market (51-1000 emp.)

**Reviewed Date:** April 22, 2024

**What do you like best about Databricks?**

Databricks Data Intelligence Platform fulfills everything it promises, it allows me to predict forecast the demand patterns, monetize the data wich achieves an excellent performance with our users as well as visualize data and perform transformations within them.

**What do you dislike about Databricks?**

Databricks Data Intelligence Platform sometimes closes unexpectedly of rest nothing that I dislike.

**What problems is Databricks solving and how is that benefiting you?**

Databricks Data Intelligence Platform provides us with fast and efficient solutions, mainly the automation of tasks saving us time and minimizing errors, simlifies tasks as a company which gives us a better workflow.

**Official Response from Aunalisa Arellano:**

> We're thrilled to hear that Databricks Data Intelligence Platform is fulfilling your needs and providing fast and efficient solutions for your company.

  ### 20. "Unlocking Data Potential: A Comprehensive Review of Databricks"

**Rating:** 4.5/5.0 stars

**Reviewed by:** Ashutosh S. | Junior Associate in DevOps and App Modernization , Enterprise (> 1000 emp.)

**Reviewed Date:** May 23, 2024

**What do you like best about Databricks?**

Interactive user interface.
A powerful tool that contains Computer power, integration with different sources of data, integrated Machine Learning, and collaboration with team using the workspace.
Provide workflow and Delta live Table pipeline which makes this fantastic.

**What do you dislike about Databricks?**

I am not able to migrate Dlt pipelines from the dev workspace to the prod workspace using Azure DevOps, if there is any way please let me know.

**What problems is Databricks solving and how is that benefiting you?**

it provides workspace, notebook, Apache spark, Delta Lake, and Scalability which processes large amounts of data easily.
It has a centralized environment by which team can work collaboratively.
Its integration power can integrate with ADF, SYNAPSE and Data warehouse easily.

**Official Response from Janelle Glover:**

> Thank you for sharing your experience and your feedback about migrating DLT pipelines. At this time, pipelines are workspace-level objects and there's currently no way to migrate them to a different workspace. However, we appreciate your feedback and will pass this information along to our development team for further review.

  ### 21. The best platform for all Data & AI needs

**Rating:** 5.0/5.0 stars

**Reviewed by:** Jaco v. | Founder, Enterprise (> 1000 emp.)

**Reviewed Date:** March 13, 2024

**What do you like best about Databricks?**

I've implemented Databricks solutions for multiple large enterprises and have therefore frequently used the product over many years. The platform scales extremely well and really helps build the data & AI ecosystem within large enterprises. Their support from solutions architects has always been extremely good. The platform itself is easy to use and integrating it with for example other cloud services (in Azure) is easy.

**What do you dislike about Databricks?**

For legacy users, migrating stuff from all purpose compute to UC can be painful.

**What problems is Databricks solving and how is that benefiting you?**

Many. For my current client (IKEA) We are building an e-learning data platform, to share learning insights to all IKEA franchisees globally.

**Official Response from Aunalisa Arellano:**

> Thank you for sharing your experience with Databricks. We're glad to hear that our platform has been beneficial for your clients and that our support from solutions architects has been valuable. We understand the challenges of migrating from legacy systems and are continuously working to improve the process.

  ### 22. Slice through billions of records like butter

**Rating:** 4.5/5.0 stars

**Reviewed by:** John C. | Data Analytics Leader - Water & Protection, Enterprise (> 1000 emp.)

**Reviewed Date:** June 09, 2024

**What do you like best about Databricks?**

As a data scientist I'm able to analyze billions of records from my web browser without having to worry about memory or CPU limitations on my laptop.

**What do you dislike about Databricks?**

There are a lot of ways to configure the platform which can be intimidating for new users.

**What problems is Databricks solving and how is that benefiting you?**

Enable analysis of large datasets that was not possible with legacy tools.

**Official Response from Janelle Glover:**

> It's great to hear that Databricks Data Intelligence Platform is enabling you to analyze large datasets that were not possible with legacy tools. We're committed to helping data scientists like you make the most of their data analysis.

  ### 23. One stop solution for all Data need

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.)

**Reviewed Date:** April 10, 2024

**What do you like best about Databricks?**

Databricks provides multiple language support as well as a well guided UI for all the processing needs. Moreover it has in-built diagnose of error which helps debugging and save time. It has also a well guided Documentation available.
We can implement data engineering work loads as well as data science workloads so it can help one organisation frequently changing domains. It also has wide integration with all cloud providers and legacy systems. Having any explicit issues can be resolved with Customer support available readily.

**What do you dislike about Databricks?**

Having prior cloud account can be an issue sometimes. Understanding its workflow can sometimes be a challenge to users.

**What problems is Databricks solving and how is that benefiting you?**

Having all integrations at one place helps saving time, resources and cost. Providing scalability to all resources helps saving efforts.

**Official Response from Aunalisa Arellano:**

> Thank you for sharing your positive experience with Databricks Data Intelligence Platform. We're pleased to hear that it has been beneficial for implementing data engineering and data science workloads, as well as providing scalability and saving time, resources, and cost. We acknowledge the challenges with prior cloud account requirements and understanding the workflow, and we're committed to addressing these issues to enhance user experience.

  ### 24. Best technology for data engineers to analyse with more proficiency

**Rating:** 5.0/5.0 stars

**Reviewed by:** John L. | Data Engineer, Information Technology and Services, Mid-Market (51-1000 emp.)

**Reviewed Date:** April 30, 2024

**What do you like best about Databricks?**

The user experience or interface of Databricks is very useful and great, they provide many automated tools and integration to use Databricks with ease.

**What do you dislike about Databricks?**

As Data Engineer, we frequently use them in our projects and also integrate with clouds like AWS to work on certain projects with the team.

**What problems is Databricks solving and how is that benefiting you?**

We can perform maximum tasks with Databricks without any hassle solve our data queries easily and also handle all data without any error or problem.

**Official Response from Aunalisa Arellano:**

> It's great to hear that Databricks is helping you solve data queries easily and handle data without errors. We are committed to providing a platform that enables data engineers to perform tasks efficiently and effectively.

  ### 25. Databricks Unified Data Intelligence Platform for all Genes - Data Engineers, Data Scientists

**Rating:** 5.0/5.0 stars

**Reviewed by:** Bhupendra R. | Technical Architect , Information Technology and Services, Enterprise (> 1000 emp.)

**Reviewed Date:** February 26, 2024

**What do you like best about Databricks?**

I've being using Databricks for more than 7 years and used almost all of services workflow, Unity Catalog, scale in and scale out the cluster depending on the demand.  

Due to the in-build capabiity of spark , ease of integration and wonderful support, we have seen customers are relying more towards to the databricks.

**What do you dislike about Databricks?**

During 2nd quarter of 2023 we have have not seen Databricks was not focusing towards to the Gen AI.

**What problems is Databricks solving and how is that benefiting you?**

Databricks Unified platform serving for all genes Data Engineers, Data Scientists. 

Utilize out of box wokflow to automate the entire jobs. 

Flexiblity of scheduling the batch vs continuous jobs depending on the need.

**Official Response from Aunalisa Arellano:**

> Thank you for your detailed feedback! We're glad to hear that you've had a positive experience with Databricks over the years, especially with the in-built capabilities of Spark and the ease of integration. We appreciate your input on the focus towards Gen AI, and we'll definitely take that into consideration for future improvements.

  ### 26. Databricks stores data easily

**Rating:** 5.0/5.0 stars

**Reviewed by:** Kendall R. | Mid-Market (51-1000 emp.)

**Reviewed Date:** April 22, 2024

**What do you like best about Databricks?**

Databricks Data Intelligence Platform makes it easier to securely implement notepad workflows. It is the necessary tool for business use since it allows me to perfom transformations in a simple way, I use it constantly.

**What do you dislike about Databricks?**

There is nothing I do not like about this product.

**What problems is Databricks solving and how is that benefiting you?**

Databricks Data Intelligence Platform is an excellent product for data collection, which allows the creation of models and evaluation, stores all kinds of data easily and allows users to program quickly and easily.

**Official Response from Aunalisa Arellano:**

> We appreciate your feedback and are pleased that Databricks Data Intelligence Platform is solving your data collection and modeling needs effectively.

  ### 27. Databricks Current User

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Consulting | Mid-Market (51-1000 emp.)

**Reviewed Date:** April 24, 2024

**What do you like best about Databricks?**

Benefits of using Databricks:
1. Git integration - Seemless
2. Delta - A lot of features not available in open source version 
3. UI is a positive
4. Integration with IDE
5. Can be used for many use cases ranging from Data engineering to AI/ML and reporting.
6. Support for multiple languages
7. Customer Support is good - Databricks support is knowledgable and resourceful.

**What do you dislike about Databricks?**

Downsides:
1. Steep learning curve
2. It takes time to setup Databricks initially from infrastructure standpoint
3. Partner services try to upsell latest Databricks products which might not be production ready and use case suitable.

**What problems is Databricks solving and how is that benefiting you?**

Consolidating many different systems into lakehouse. Unity Catalog provides a very good governance model.

**Official Response from Janelle Glover:**

> We're glad to hear that you are enjoying the benefits of using Databricks, including the seamless Git integration, Delta's advanced features, and the versatile UI. We appreciate your feedback on the areas for improvement, such as the learning curve and setup time. We are continuously working to enhance our platform and streamline the onboarding process. Thank you for sharing your experience with us.

  ### 28. it has made the integration with different sources hassel free and we can more focus on data

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Shipbuilding | Enterprise (> 1000 emp.)

**Reviewed Date:** July 11, 2024

**What do you like best about Databricks?**

ease of use ,ease of integration,variert of features which are added often to improve user experiences,Assistant AI

**What do you dislike about Databricks?**

sometimes the error is not accurate hence debugging takes time,
ai assistant also provide incorrect suggestion few times

**What problems is Databricks solving and how is that benefiting you?**

Databricks is solving the problem of processing huge data through parallel processing,also with help of unity catalog we can maintain the governance and integrity of data,as the features are easy to use we can  focus on data and decisions.

**Official Response from Aunalisa Arellano:**

> We're glad to hear that you find Databricks Data Intelligence Platform easy to use and that it has made integration hassle-free for you. We appreciate your feedback on the variety of features and the AI assistant. We understand your concerns about inaccurate errors and suggestions, and we are constantly working to improve the accuracy of our AI features.

  ### 29. Most Flexible data platform on the market

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.)

**Reviewed Date:** May 10, 2024

**What do you like best about Databricks?**

The databricks platform give you a single place to build your data processes. You can scale, adjust and write successful code from any skill level.The customer support we get is very good and helpful in our tactical implementations. Also you can intake data from any platform on the market.

**What do you dislike about Databricks?**

The most difficult this is that there isn't a out of work training location unless you stand up your own environment.

**What problems is Databricks solving and how is that benefiting you?**

Databricks is solving scale and onboarding issues for us. The size of the data is less and less of a issue and we can focus on writing code that is obtainable to staff.

**Official Response from Aunalisa Arellano:**

> It's great to hear that Databricks is helping you solve scale and onboarding issues, allowing you to focus on writing accessible code for your staff.

  ### 30. Databricks Data Intelligence Platform

**Rating:** 5.0/5.0 stars

**Reviewed by:** Chirag N. | Associate DevOps Engineer, Enterprise (> 1000 emp.)

**Reviewed Date:** April 22, 2024

**What do you like best about Databricks?**

I like Databricks Data Intelligence Platform because of its multiple features workspace, notebooks, DBU, DBFS and lakehouse and the UC and fix feature are the excellent feautures

**What do you dislike about Databricks?**

As of now nothing, till noe all my requirements fullfilled

**What problems is Databricks solving and how is that benefiting you?**

Databricks helps me to manage massive amount of data and migrating  notebooks from one workspace to another workspace also benifits to us in terms of time and accuracy and major all the problems it solves for me.

**Official Response from Aunalisa Arellano:**

> It's great to hear that Databricks is helping you manage massive amounts of data and facilitating the migration of notebooks between workspaces. We're glad to hear that it's saving you time and improving accuracy.

  ### 31. It provides unified solutions for end-to-end Data Science project.

**Rating:** 5.0/5.0 stars

**Reviewed by:** Biswajeet M. | Consultant, Enterprise (> 1000 emp.)

**Reviewed Date:** June 03, 2024

**What do you like best about Databricks?**

Data processing, scheduling and management, in particular ETL. Big data democratization and collaboration opportunities, the Databricks team aims to make big data analytics easier for enterprises.

**What do you dislike about Databricks?**

File management on DBFS can be improved.
Visualization in MLFLOW experiment can be enhanced.

**What problems is Databricks solving and how is that benefiting you?**

By providing unified intelligence Data Platform to handle messy, siloed and slow data.

**Official Response from Janelle Glover:**

> It's great to hear that our Data Intelligence Platform is helping you handle messy, siloed, and slow data. We understand your concerns about file management on DBFS and visualization in MLFLOW experiment, and we are continuously working to improve these aspects of our platform.

  ### 32. Ease of implementation

**Rating:** 5.0/5.0 stars

**Reviewed by:** Madisson W. | Telecommunications Engineer, Mid-Market (51-1000 emp.)

**Reviewed Date:** April 23, 2024

**What do you like best about Databricks?**

Databricks Data Intelligence Platform is ideal; it helps me to innovate and allows access to data with built-in AI capabilities, cleaning, management, and storage. All in one platform.

**What do you dislike about Databricks?**

Databrisk should improve the tutorials and documents to make them easier to use.

**What problems is Databricks solving and how is that benefiting you?**

Databricks Data Intelligence Platform benefits me because it is a tool that allows me to incorporate automation, it has data science and AI, which is quite innovative and necessary for companies.

**Official Response from Aunalisa Arellano:**

> We're glad to hear that you find Databricks Data Intelligence Platform ideal for innovation and accessing data with built-in AI capabilities.

  ### 33. Databricks is seriously good stuff

**Rating:** 5.0/5.0 stars

**Reviewed by:** Steve L. | Sr. Data Engineer, Mid-Market (51-1000 emp.)

**Reviewed Date:** March 16, 2024

**What do you like best about Databricks?**

Date of breakfast well integrated and crafted suite of applications making a harmonious environment for all kinds of data, data warehouse and applications.

**What do you dislike about Databricks?**

Sometimes things are not as smooth and easy as you wish but principally because features still in progress of improvements and discovery. I actually often find the shortcoming today is a naturally smooth add to the suite after the next release

**What problems is Databricks solving and how is that benefiting you?**

The common ones you are most looking for help with, velocity variety, column, and veracity. Made best and easiest with a thoughtfully integrated and crafted singular platform.

**Official Response from Janelle Glover:**

> Thanks so much for sharing your experience with us! It's great to hear that you're benefitting from a well integrated and harmonious environment. We appreciate your feedback on the areas where we can improve. We are continuously working on enhancing our features to provide a smoother experience for our users and this feedback is valuable to us. 

  ### 34. Powerful tool to handle big data and run reports

**Rating:** 5.0/5.0 stars

**Reviewed by:** Sylvie P. | Consultant in Organisation & Change Management, Consulting, Small-Business (50 or fewer emp.)

**Reviewed Date:** April 23, 2024

**What do you like best about Databricks?**

I like this tool for running reports, managing data and it offers excellent features for analysis and visualization of query results. I liked all of that.

**What do you dislike about Databricks?**

It is a bit confusing at first, especially the user panel.

**What problems is Databricks solving and how is that benefiting you?**

In general, Databrick is used to manage different amounts of data, run queries, data science and machine learning and optimize correctly and make changes which helps us a lot to avoid delays and save time.

**Official Response from Aunalisa Arellano:**

> It's great to hear that Databricks Data Intelligence Platform is helping you manage different amounts of data, run queries, and optimize processes for data science and machine learning. We're committed to providing tools that help you avoid delays and save time.

  ### 35. Perfect Location for Lakehouse

**Rating:** 5.0/5.0 stars

**Reviewed by:** Bharanidharan m. | Cloud Solutions Architect, Enterprise (> 1000 emp.)

**Reviewed Date:** February 11, 2024

**What do you like best about Databricks?**

With Lakehouse bringing in all company data on one place in layered medallion architecture, we could use Open AI services right out of the box to leverage Gen AI capabilities either out of the box or by connecting to Cloud providers Open AI services.  And with recent acquisition of Einblick it makes it much more intuitive for self-service analytics for business users without stressing on the analysts.

**What do you dislike about Databricks?**

More support for DevOps could be better. Also with unity catalog, if there are too many tables, views in one schema or too many schema, it makes it difficult to scroll thru in UI

**What problems is Databricks solving and how is that benefiting you?**

We are bringing in all of our clients products data, customer data, transactions, end customers, distributors data in one place for better understanding of customers buying patterns and feedback to help our marketing and sales team to collaborate more effectively

**Official Response from Aunalisa Arellano:**

> We're thrilled to hear that you are finding value in our Lakehouse architecture and integration with Open AI services for leveraging Gen AI capabilities and self-service analytics. We appreciate your feedback on the areas where we can improve, such as better support for DevOps and addressing challenges with the unity catalog. It's great to hear how our platform is benefiting you by bringing all your data together for a better understanding of customer behavior and improved collaboration within your organization.

  ### 36. Databricks, a rising hero for your complex data problems!

**Rating:** 4.0/5.0 stars

**Reviewed by:** Ojas M. | Software Engineer, Enterprise (> 1000 emp.)

**Reviewed Date:** November 07, 2023

**What do you like best about Databricks?**

The ease of working at a cloud based data system (compatible with Azure/AWS/GCP) is far more better than those slow, laggy, boring legacy data warehouse systems like hadoop and others. Due to its Spark engine based built, big data processing is speedy, efficient and scalable. 

Its a go to solution to my data warehouse / data lake based problems, the best of both worlds. One can integrate variety of data sources/formats like SQL-NoSQL, excel, csv, streaming data, APIs,etc. One can use a feature called Autoloader that eases our implementations of detecting and loading any kinda data in Delta Lake tables without any hard coding.

The platform is designed in such a way that in my 1 year of daily usage I haven't faced any kind of unexpected downtime/issue on platform for which I have to reach out to their customer support group.

I would highly recommend Databricks Lakehouse Platform to anyone who is looking for a powerful and flexible analytics platform.

**What do you dislike about Databricks?**

Browsing and accessing is a bit confusing if one is working on a resource group accounts which could have several main and segregated user based notebooks/files, accessing them is tideous task as a developer, one has to open a seperate new tab just for browsing or opening a seperate file/notebook for referencing puposes. Another thing is the frequency of UI changes in every few months, once a person gets comfortable/used to, a new UI update would pop up making it difficult for a person to adapt these changes once again.

**What problems is Databricks solving and how is that benefiting you?**

From its suit of features, it helped me processing daily arriving data from APIs and CSVs from a railway networking website platform, turing it into an Analytical solution in form of dashboard KPIs which play a vital role in taking key decisions and maintaining  a lossless on-schedule railway network for real world users of the web product. It has helped me and my team in reducing operational overhead cost with its performance and reliability featues like data versioning and schema enforcement.  It has also facilitated collaboration and communication in my team who are working from different corners of world remotely.

**Official Response from Aunalisa Arellano:**

> Thank you for sharing your detailed feedback on your experience with Databricks Data Intelligence Platform! We're thrilled to hear that you find our platform efficient, scalable, and reliable for your data processing needs. 

We appreciate your constructive feedback regarding the browsing and accessing of resources, as well as the frequency of UI changes. Your feedback is valuable to us as we continuously strive to improve our platform and user experience.

We would love to gather more insights from you to address these concerns and enhance your overall experience. Please feel free to reach out to our support team so we can assist you further and ensure a smoother workflow for you and your team. Thank you for recommending Databricks as a powerful analytics solution!

  ### 37. The Most Efficient and Detailed AI Solution for Data

**Rating:** 4.5/5.0 stars

**Reviewed by:** Simona C. | Operations Assistant Manager, Hospital & Health Care, Enterprise (> 1000 emp.)

**Reviewed Date:** April 22, 2024

**What do you like best about Databricks?**

Databricks has been integrated with nujmerous software, such as Grammarly. 
The software has a unified implementation plan, which makes the process of content generation manageable.
Databricks provides a unique analytical feature, with simplistic deployment measures.

**What do you dislike about Databricks?**

Databricks has adeqaute assistance in making every AI generative process swift and resourceful. We have obtained maximum support and detailed analytics from Databricks.

**What problems is Databricks solving and how is that benefiting you?**

Databricks acts as a reliable data analytical solution, when handles even master database swiftly. 
More so, the data warehouse makes the accessibility process faster, and all the predictive analysis is done accurately. 
The integration with other functional software including Grammarly makes the tool more helpful.

**Official Response from Aunalisa Arellano:**

> We're thrilled to hear that you are enjoying the integration capabilities and unified implementation plan of Databricks, as well as its unique analytical features and deployment measures.

  ### 38. Databricks Review

**Rating:** 4.0/5.0 stars

**Reviewed by:** Neeraj G. | Data Engineer, Computer Software, Mid-Market (51-1000 emp.)

**Reviewed Date:** April 10, 2024

**What do you like best about Databricks?**

I like to use it for creating my ETL Pipelines. Its features helps us to make the data transformation so easy.

**What do you dislike about Databricks?**

There is nothing to dislike as of now. It is best as it is.

**What problems is Databricks solving and how is that benefiting you?**

It helps us in creating and maintaining the ETL Pipelines. The data transformation features are very useful to have in the pipelines. Its data security and integrity is very useful for maintaing a healthy pipeline.

**Official Response from Aunalisa Arellano:**

> Thank you for sharing your positive experience with Databricks. We're thrilled to hear that you have not encountered any issues with the platform.

  ### 39. Databricks Review.

**Rating:** 4.0/5.0 stars

**Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.)

**Reviewed Date:** April 04, 2024

**What do you like best about Databricks?**

The best thing is I can choose any cloud provider for my infrastructure. The interactive environment called Notebooks which allows to write and execute codes is very easy to use. The magic commands are very much helpful. The UI is good and interactive.

**What do you dislike about Databricks?**

Nothing as of now but there can be more features added.

**What problems is Databricks solving and how is that benefiting you?**

I can choose between Single node and Multi node clutser according to our requirement which solves our problem. I can create workflows easily by connecting it to the notebooks and can also mention external parameters. Spot instances are very much cost saving. And the feature called Photon which helps in fast query performance at low cost.

**Official Response from Aunalisa Arellano:**

> Thank you for your feedback! We are constantly working on adding new features to enhance the platform, so stay tuned for updates.

  ### 40. Interesting Product for Data Science

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.)

**Reviewed Date:** May 11, 2024

**What do you like best about Databricks?**

Data lineage is one of the valuable features I like in Unity Catalog. It makes it easy for us to do data debugging and analysis of data calculations with access control.

**What do you dislike about Databricks?**

Not much, but for ease of understanding, the data lineage visualization section needed some work.

**What problems is Databricks solving and how is that benefiting you?**

In the data science project, many times we needed to verify and recheck the calculations of the KPI matrix and what table and transformation were needed for this. We had difficulty tracing back the flow of calculations through the original data. The Unity Catalog directly provides a data lineage feature for this. We can easily determine what data transfer was required and how this KPI matrix was calculated from the original data through the dashboard and graphs with the access control feature.

**Official Response from Janelle Glover:**

> We're glad to hear that you find the data lineage feature valuable for data debugging and analysis. We appreciate your feedback on the data lineage visualization section and will take it into consideration for future improvements.

  ### 41. A well thought out evolving data platform

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Consulting | Small-Business (50 or fewer emp.)

**Reviewed Date:** July 23, 2024

**What do you like best about Databricks?**

The constant evolution of the platform, with customer focused additional features, backed by knowledgable employees and a great community.

**What do you dislike about Databricks?**

The providers in the marketplace could be better or a superset of those in Snowflake - would make some migration discussions easier

**What problems is Databricks solving and how is that benefiting you?**

It provides a comprehensive platform for data pipelineing, storage and consumption.

**Official Response from Aunalisa Arellano:**

> We're thrilled to hear that you appreciate the constant evolution of our platform and our customer-focused approach. We're committed to providing the best experience for our users.

  ### 42. Unlocking the Power of Data: A Deep Dive into Databricks Lakehouse Platform

**Rating:** 4.5/5.0 stars

**Reviewed by:** Malathi T. | Junior Executive, Enterprise (> 1000 emp.)

**Reviewed Date:** October 20, 2023

**What do you like best about Databricks?**

Unified platform for Data & AI with workspace for data engineering, data science & SQL analysis

Autoloader with Schema evolution make easier for incremental de-duplicated feeds

Delta Live Table pipelines works both batch/stream pipelines helps to build the serverless lakehouse without much capacity planning

Data Quality expectation & observability are in-built in DLT pipelines and ready to use

Unity Catalog solves the data silos problems by providing the fine grained access control & unified governance

Good Databricks community support exists for Databricks partners & databricks customers

Ease of use to build the metadata driven frameworks

Good integration with lot of tools for different segments using partner connect

Azure Repos is another cool feature

**What do you dislike about Databricks?**

Managing Cost is complicated when comes to non-DLT based pipleines in terms of capapcity planning of teh clusters, but can be solved through DLT & SQL warehouse endpoints

Vendor-lock in terms of using DELTA format with DLT  based pipelines but soon this fomrats will be supported in otehr platforms

Databricks is not GUI based drag-drp ETL framework tool, learning curve in terms of spark, scal, python or SQL programming language is required

**What problems is Databricks solving and how is that benefiting you?**

Unifying the batch & streaming data ino single paltform

Bringing the data lake & data warehouse together with the data lakehouse platform

Data colloboration, Data federation, data mesh can be achieved through unity catalog unified governance

Performing the CDC was earlier complicated in data lake but now that is solved through autoloader with change data feed & DLT for real time changes

Multi-cloud - no cloud provider lock-in for compute resourcing (control plane  & data plane is seperated)

Numerous integrations are possible with easy connectivity options

**Official Response from Aunalisa Arellano:**

> Thank you for taking the time to provide detailed feedback on Databricks Data Intelligence Platform. We're pleased to hear that you find the platform beneficial for unifying batch and streaming data, achieving data collaboration and federation, and enabling multi-cloud capabilities. We acknowledge your concerns about managing costs and the learning curve for programming languages, and we will take these into consideration for future improvements.

  ### 43. Best solution for large data transformation

**Rating:** 5.0/5.0 stars

**Reviewed by:** Yashasvi R. | SSE, Small-Business (50 or fewer emp.)

**Reviewed Date:** April 22, 2024

**What do you like best about Databricks?**

Easy to integrate with all our cloud infra like Azure AD, AWS & GCP.
I currently using Databricks in our Azure AD. Before Databricks its was very tough for me to large data transformation. Now its become very easy.

**What do you dislike about Databricks?**

I dont see any dislike in Databricks from past 1.5 years.

**What problems is Databricks solving and how is that benefiting you?**

Mainly for large data transformation

**Official Response from Aunalisa Arellano:**

> We're glad to hear that Databricks has made large data transformation easier for you and that it integrates well with your cloud infrastructure. Thank you for sharing your positive experience!

  ### 44. I likely recommend to my friend to use databricks platform

**Rating:** 5.0/5.0 stars

**Reviewed by:** PULAPARTHI V. | Growth Manager, Enterprise (> 1000 emp.)

**Reviewed Date:** July 29, 2024

**What do you like best about Databricks?**

Ai and ml analytics would be the great tool that would be useful for the etl/elt process

**What do you dislike about Databricks?**

Nothing anything is good with the great interface and fast response thank you

**What problems is Databricks solving and how is that benefiting you?**

Yes it would be very great to use the tool very easy to use

**Official Response from Janelle Glover:**

> Thank you for recommending Databricks! We're glad to hear that you find the interface great and the response time fast. We appreciate your support!

  ### 45. The Databricks

**Rating:** 5.0/5.0 stars

**Reviewed by:** Utkarsh G. | Associate Cloud Infra & DevOps Engineer , Enterprise (> 1000 emp.)

**Reviewed Date:** April 18, 2024

**What do you like best about Databricks?**

Features like UC, notebooks, lakehouse, workspace, and Delta Lake which make this superb.

**What do you dislike about Databricks?**

No problems have arisen till now in POCs and data migration from dev to prod.

**What problems is Databricks solving and how is that benefiting you?**

All required tools/features for data are in one place with single costing.
Integrety with other tools like azure data factory and azure synapse which make this more beneficial.

**Official Response from Aunalisa Arellano:**

> We appreciate your feedback on the benefits of Databricks Data Intelligence Platform, including its comprehensive features and seamless integration with other tools. We're committed to providing a seamless and efficient data platform for our users.

  ### 46. The ETL Governance Monitoring stands out from the vast landscape of Big Data tools.

**Rating:** 4.5/5.0 stars

**Reviewed by:** Ayush K. | Information Technology and Services, Mid-Market (51-1000 emp.)

**Reviewed Date:** April 19, 2024

**What do you like best about Databricks?**

Espically the "Unity Catalog" and "Fix feature on the anomaly in Data lineage" are the wow features that truly impress.

**What do you dislike about Databricks?**

Nothing, because as of now it offers all the features in one tool, which is truly impressive.

**What problems is Databricks solving and how is that benefiting you?**

We haven't encountered any issues; our POC is working well and the actual implementation is excellent.

**Official Response from Aunalisa Arellano:**

> We're thrilled to hear that you find the Unity Catalog and anomaly fix feature in the Data Intelligence Platform impressive! Thank you for sharing your positive experience.

  ### 47. Excelent platform

**Rating:** 4.0/5.0 stars

**Reviewed by:** Thales B. | Business Intelligence Analyst, Small-Business (50 or fewer emp.)

**Reviewed Date:** July 10, 2024

**What do you like best about Databricks?**

The best part about databricks is how easy is to start working. There is no need for setup and I can use either SQL, Python or Pyspark in the same notebook. It makes the work easier and faster.

**What do you dislike about Databricks?**

For data engineering studying purposes is rather expensive.

**What problems is Databricks solving and how is that benefiting you?**

Analysis for my team.

**Official Response from Janelle Glover:**

> Thank you for sharing your positive experience with Databricks! We're happy to hear that the platform has made your work easier and faster. We understand your concern about the cost and will take this into consideration as we continue to improve our services.

  ### 48. The ETL, Governance,Monitoring is class apart as per the tools available across the Big Data Space

**Rating:** 5.0/5.0 stars

**Reviewed by:** Prashant J. | Solution Architect, Enterprise (> 1000 emp.)

**Reviewed Date:** April 16, 2024

**What do you like best about Databricks?**

The Unity Ctaalog, Lakehouse Monitoring and the Data Lineage and Fix on the anamolyin Data linegae are the wow featires

**What do you dislike about Databricks?**

Nothing as of now, We are good to go with this.

**What problems is Databricks solving and how is that benefiting you?**

NOthing We have found, our POC is working well and the actual implementation is superb.

**Official Response from Janelle Glover:**

> We appreciate your feedback and are delighted to hear that the platform is working well for your POC and implementation.

  ### 49. Databricks platform

**Rating:** 5.0/5.0 stars

**Reviewed by:** Sourya B. | Associate data engineer, Enterprise (> 1000 emp.)

**Reviewed Date:** July 12, 2024

**What do you like best about Databricks?**

Databricks is a platform where we can implement our spark and ml logics for all our data engineering, analysis and ml workloads with ease

**What do you dislike about Databricks?**

There's nothing such but we can have more pipeline kind of things added

**What problems is Databricks solving and how is that benefiting you?**

We get everything under a single platform we can say

**Official Response from Janelle Glover:**

> It's great to hear that Databricks is providing a single platform for all your data engineering, analysis, and ML workloads. We'll pass along your feedback about adding more pipeline functionalities to our development team.

  ### 50. Data Engineering with Databricks

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Banking | Enterprise (> 1000 emp.)

**Reviewed Date:** April 11, 2024

**What do you like best about Databricks?**

I like Databricks because it provides all the elements necessary for mass data processing, the different components (notebook, cluster, jobs) are very well integrated and quite easy to use. A lot of training is offered to understand in depth the possibilities offered in Databricks, which makes it much easier to use.

**What do you dislike about Databricks?**

The Dashboard part integrated into Databricks is quite limited and does not allow the creation of complex and relevant dashboards

**What problems is Databricks solving and how is that benefiting you?**

Databricks solves the problem of scalability, it's easy to manage a large amount of data as a smaller one.

**Official Response from Aunalisa Arellano:**

> Thank you for sharing your positive experience with Databricks and highlighting its ease of use for data processing. We understand your concern about the limited dashboard capabilities and will take this feedback into account for future enhancements.


## Databricks Discussions
  - [What is Lakehouse in Databricks?](https://www.g2.com/discussions/what-is-lakehouse-in-databricks) - 4 comments, 2 upvotes
  - [What are the features of Databricks?](https://www.g2.com/discussions/what-are-the-features-of-databricks) - 4 comments, 2 upvotes
  - [What does Databricks software do?](https://www.g2.com/discussions/what-does-databricks-software-do) - 3 comments
  - [What is Databricks unified analytics platform?](https://www.g2.com/discussions/what-is-databricks-unified-analytics-platform) - 3 comments

- [View Databricks pricing details and edition comparison](https://www.g2.com/products/databricks/reviews?page=10&section=pricing&secure%5Bexpires_at%5D=2026-05-22+08%3A53%3A19+-0500&secure%5Bsession_id%5D=56838d08-6776-4836-b021-031ebe626ed5&secure%5Btoken%5D=59ac07d58072285b388db12a882b2d3c73cb06df874b450bc99494b619b8e112&format=llm_user)
## Databricks Integrations
  - [Agentforce 360 Platform (formerly Salesforce Platform)](https://www.g2.com/products/agentforce-360-platform-formerly-salesforce-platform/reviews)
  - [Agentforce Sales (formerly Salesforce Sales Cloud)](https://www.g2.com/products/agentforce-sales-formerly-salesforce-sales-cloud/reviews)
  - [Alation](https://www.g2.com/products/alation/reviews)
  - [Amazon EC2](https://www.g2.com/products/amazon-ec2/reviews)
  - [Amazon Relational Database Service (RDS)](https://www.g2.com/products/amazon-relational-database-service-rds/reviews)
  - [Anaplan](https://www.g2.com/products/anaplan/reviews)
  - [Anomalo](https://www.g2.com/products/anomalo/reviews)
  - [Apache Kafka](https://www.g2.com/products/apache-kafka/reviews)
  - [Apache NiFi](https://www.g2.com/products/apache-nifi/reviews)
  - [Atlan](https://www.g2.com/products/atlan/reviews)
  - [AWS CloudFormation](https://www.g2.com/products/aws-aws-cloudformation/reviews)
  - [AWS Glue](https://www.g2.com/products/aws-glue/reviews)
  - [AWS Lambda](https://www.g2.com/products/aws-lambda/reviews)
  - [Azure Blob Storage](https://www.g2.com/products/azure-blob-storage/reviews)
  - [Azure Databricks](https://www.g2.com/products/azure-databricks/reviews)
  - [Azure Data Factory](https://www.g2.com/products/azure-data-factory/reviews)
  - [Azure Data Lake Store](https://www.g2.com/products/azure-data-lake-store/reviews)
  - [Azure Functions](https://www.g2.com/products/azure-functions/reviews)
  - [Azure Logic Apps](https://www.g2.com/products/azure-logic-apps/reviews)
  - [Azure OpenAI Service](https://www.g2.com/products/azure-openai-service/reviews)
  - [Azure Pipelines](https://www.g2.com/products/azure-pipelines/reviews)
  - [Azure Portal](https://www.g2.com/products/azure-portal/reviews)
  - [Azure SQL Database](https://www.g2.com/products/azure-sql-database/reviews)
  - [Claude Code](https://www.g2.com/products/anthropic-claude-code/reviews)
  - [Confluent](https://www.g2.com/products/confluent/reviews)
  - [Customer.io](https://www.g2.com/products/customer-io/reviews)
  - [Dash](https://www.g2.com/products/dash-for-brands-ltd-dash/reviews)
  - [data.world](https://www.g2.com/products/data-world/reviews)
  - [DAT iQ](https://www.g2.com/products/dat-iq/reviews)
  - [dbt](https://www.g2.com/products/dbt/reviews)
  - [DigitalOcean](https://www.g2.com/products/digitalocean/reviews)
  - [Fivetran](https://www.g2.com/products/fivetran/reviews)
  - [GEN TDS](https://www.g2.com/products/gen-tds/reviews)
  - [Git](https://www.g2.com/products/git/reviews)
  - [GitHub](https://www.g2.com/products/github/reviews)
  - [Google Analytics](https://www.g2.com/products/google-analytics/reviews)
  - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews)
  - [Google Cloud Console](https://www.g2.com/products/google-cloud-console/reviews)
  - [Google Cloud Run](https://www.g2.com/products/google-cloud-run/reviews)
  - [HubSpot Marketing Hub](https://www.g2.com/products/hubspot-marketing-hub/reviews)
  - [Immuta](https://www.g2.com/products/immuta/reviews)
  - [Informatica Data Quality](https://www.g2.com/products/informatica-informatica-data-quality/reviews)
  - [JD Edwards World](https://www.g2.com/products/jd-edwards-world/reviews)
  - [Microsoft Copilot Studio](https://www.g2.com/products/microsoft-microsoft-copilot-studio/reviews)
  - [Microsoft Fabric](https://www.g2.com/products/microsoft-fabric/reviews)
  - [Microsoft Power Apps](https://www.g2.com/products/microsoft-power-apps/reviews)
  - [Microsoft Power Automate](https://www.g2.com/products/microsoft-power-automate/reviews)
  - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews)
  - [Microsoft SharePoint](https://www.g2.com/products/microsoft-sharepoint/reviews)
  - [Microsoft SQL Server](https://www.g2.com/products/microsoft-sql-server/reviews)
  - [Microsoft Teams](https://www.g2.com/products/microsoft-teams/reviews)
  - [Monte Carlo](https://www.g2.com/products/monte-carlo/reviews)
  - [MySQL](https://www.g2.com/products/mysql/reviews)
  - [ObjectWay SpA](https://www.g2.com/products/objectway-spa/reviews)
  - [Oracle Database](https://www.g2.com/products/oracle-database/reviews)
  - [Pega Platform](https://www.g2.com/products/pega-platform/reviews)
  - [PostgreSQL](https://www.g2.com/products/postgresql/reviews)
  - [PowerBI Portal](https://www.g2.com/products/powerbi-portal/reviews)
  - [Qualtrics Customer Experience](https://www.g2.com/products/qualtrics-customer-experience/reviews)
  - [React Native](https://www.g2.com/products/react-native/reviews)
  - [Salesforce Agentforce](https://www.g2.com/products/salesforce-agentforce/reviews)
  - [SAP Ariba](https://www.g2.com/products/sap-ariba/reviews)
  - [SAP ECC](https://www.g2.com/products/sap-ecc/reviews)
  - [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews)
  - [Seamless (formally Seamless.AI)](https://www.g2.com/products/seamless-formally-seamless-ai/reviews)
  - [ServiceNow IT Service Management](https://www.g2.com/products/servicenow-it-service-management/reviews)
  - [Sigma](https://www.g2.com/products/sigma-computing-sigma/reviews)
  - [Sisense](https://www.g2.com/products/sisense/reviews)
  - [SnapLogic Intelligent Integration Platform (IIP)](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews)
  - [Snowflake](https://www.g2.com/products/snowflake/reviews)
  - [Spark](https://www.g2.com/products/openclassrooms-spark/reviews)
  - [Spark](https://www.g2.com/products/apache-spark/reviews)
  - [Spark SQL](https://www.g2.com/products/spark-sql/reviews)
  - [SplashBI](https://www.g2.com/products/splashbi/reviews)
  - [Spotfire Analytics](https://www.g2.com/products/spotfire-analytics/reviews)
  - [Tableau](https://www.g2.com/products/tableau/reviews)
  - [ThoughtSpot](https://www.g2.com/products/thoughtspot/reviews)
  - [Visual Studio Code](https://www.g2.com/products/visual-studio-code/reviews)
  - [Workday HCM](https://www.g2.com/products/workday-hcm/reviews)
  - [Zendesk Sunshine](https://www.g2.com/products/zendesk-sunshine/reviews)

## Databricks Features
**Reports**
- Reports Interface
- Steps to Answer
- Graphs and Charts
- Score Cards
- Dashboards

**Administration**
- Data Modelling
- Recommendations
- Workflow Management
- Dashboards and Visualizations

**Management**
- Reporting
- Auditing

**Deployment**
- Language Flexibility
- Framework Flexibility
- Versioning
- Ease of Deployment
- Scalability

**System**
- Data Ingestion & Wrangling

**Data Preparation**
- Connectors
- Data Governance

**Data Management**
- Data Integration
- Data Compression
- Data Quality
- Built-In Data Analytics
- In-Database Machine Learning
- Data Lake Analytics

**Management**
- Data dictionary
- Data Replication
- Query Language
- Data Modeling
- Performance Analysis

**Management**
- Business Glossary
- Data Discovery
- Data Profililng
- Reporting and Visualization
- Data Lineage

**Deployment**
- Language Flexibility
- Framework Flexibility
- Versioning
- Ease of Deployment
- Scalability

**Data Management**
- Data Integration
- Metadata
- Self-service
- Automated workflows

**Scalability and Performance - Generative AI Infrastructure**
- AI High Availability
- AI Model Training Scalability
- AI Inference Speed

**Customization - AI Agent Builders**
- Natural Language Configuration
- Tone Customization
- Security Guardrails

**Agentic AI - DataOps Platforms**
- Autonomous Task Execution
- Multi-step Planning
- Cross-system Integration
- Adaptive Learning
- Decision Making

**Traffic Management & Performance - AI Gateways**
- Token-Aware Rate Limiting
- Semantic Caching
- Multi-Model Routing & Fallbacks

**Model Development**
- Language Support
- Drag and Drop
- Pre-Built Algorithms
- Model Training

**Database**
- Real-Time Data Collection
- Data Distribution
- Data Lake

**Data Transformation**
- Real-Time Analytics
- Data Querying

**Compliance**
- Sensitive Data Compliance
- Training and Guidelines
- Policy Enforcement
- Compliance Monitoring

**Functionality**
- Extraction
- Transformation
- Loading
- Automation
- Scalability

**Management**
- Cataloging
- Monitoring
- Governing
- Model Registry

**Model Development**
- Feature Engineering

**Data Modeling and Blending**
- Data Querying
- Data Filtering
- Data Blending

**Integration**
- AI/ ML Integration
- BI Tool Integration
- Data lake Integration

**Maintenance**
- Data Migration
- Backup and Recovery
- Multi-User Environment

**Security**
- Access Control
- Roles Management
- Compliance Management

**Operations**
- Metrics
- Infrastructure management
- Collaboration

**Analytics**
- Analytics capabilities
- Dasboard visualizations

**Cost and Efficiency - Generative AI Infrastructure**
- AI Cost per API Call
- AI Resource Allocation Flexibility
- AI Energy Efficiency

**Functionality - AI Agent Builders**
- Omni-channel Support
- Agent Branding
- Proactive Response Capabilities
- Seamless Human Escalation

**Governance & Observability - AI Gateways**
- Data Privacy
- Cost Tracking
- Centralized API Key Security

**Machine/Deep Learning Services**
- Computer Vision
- Natural Language Processing
- Natural Language Generation
- Artificial Neural Networks

**Integrations**
- Hadoop Integration
- Spark Integration

**Data Quality**
- Data Preparation
- Data Distribution
- Data Unification

**Machine/Deep Learning Services**
- Natural Language Understanding
- Deep Learning

**Deployment**
- On-Premise
- Cloud

**Security**
- Data Encryption
- User Access Control

**Maintainence**
- Data Quality Management
- Policy Management

**Management**
- Cataloging
- Monitoring
- Governing

**Monitoring and Management**
- Data Observability
- Testing capabilities

**Generative AI**
- AI Text Generation
- AI Text Summarization

**Integration and Extensibility - Generative AI Infrastructure**
- AI Multi-cloud Support
- AI Data Pipeline Integration
- AI API Support and Flexibility

**Data and Analytics - AI Agent Builders**
- Analytics & Reporting
- Contextual Awareness
- Data Privacy Compliance

**Deployment**
- Managed Service
- Application
- Scalability

**Platform**
- Machine Scaling
- Data Preparation
- Spark Integration

**Connectivity**
- Hadoop Integration
- Spark Integration
- Multi-Source Analysis
- Data Lake

**Performance **
- Scalability

**Cloud Deployment**
- Hybrid cloud support
- Cloud migration capabilities

**Generative AI**
- AI Text Generation
- AI Text Summarization

**Generative AI**
- AI Text Generation
- AI Text Summarization

**Security and Compliance - Generative AI Infrastructure**
- AI GDPR and Regulatory Compliance
- AI Role-based Access Control
- AI Data Encryption

**Integration - AI Agent Builders**
- Workflow Automation
- API Usage
- Platform Interoperability
- CRM Data Integration

**Agentic AI - Analytics Platforms**
- Autonomous Task Execution
- Multi-step Planning
- Cross-system Integration
- Adaptive Learning
- Natural Language Interaction
- Proactive Assistance
- Decision Making

**Self Service **
- Calculated Fields
- Data Column Filtering
- Data Discovery
- Search
- Collaboration / Workflow
- Automodeling

**Processing**
- Cloud Processing
- Workload Processing

**Operations**
- Data Visualization
- Data Workflow
- Governed Discovery
- Embedded Analytics
- Notebooks

**Security**
- Data Governance
- Data Security

**Generative AI**
- AI Text Generation
- AI Text Summarization
- AI Text-to-Image

**Generative AI**
- AI Text Generation
- AI Text Summarization

**Usability and Support - Generative AI Infrastructure**
- AI Documentation Quality
- AI Community Activity

**Agentic AI - Data Governance**
- Autonomous Task Execution
- Multi-step Planning
- Cross-system Integration
- Adaptive Learning
- Natural Language Interaction
- Decision Making

**Deployment & Integration - Analytics Platforms**
- No-code Dashboard Builder
- Report Scheduling and Automation
- Embedded Analytics and White-labeling
- Data Source Connectivity

**Advanced Analytics**
- Predictive Analytics
- Data Visualization
- Big Data Services

**Generative AI**
- AI Text Generation
- AI Text Summarization

**Agentic AI - Data Science and Machine Learning Platforms**
- Autonomous Task Execution
- Multi-step Planning
- Cross-system Integration
- Adaptive Learning
- Natural Language Interaction
- Proactive Assistance
- Decision Making

**Performance & Scalability - Analytics Platforms**
- Large data handling and Query Speed
- Concurrent User Support

**Advanced Analytics & Modeling - Analytics Platforms**
- Data Modeling and Governance
- Notebook and Script Integration
- Built-in Predictive and Statistical Models

**Agentic AI Capabilities - Analytics Platforms**
- Auto-generated Insights and Narratives
- Natural Language Queries
- Proactive KPI Monitoring and Alerts
- AI Agents for Analytical Follow-ups

**Personalized Intelligence - Analytics Platforms**
- Behavioral Learning for Contextual Query Refinement
- Role-based Insight Personalization
- Conversational and Prompt-based Analytics

**Building Reports**
- Data Transformation
- Data Modeling
- WYSIWYG Report Design
- Integration APIs

**Platform**
- Mobile User Support
- Customization 
- User, Role, and Access Management
- Internationalization
- Sandbox / Test Environments
- Performance and Reliability
- Breadth of Partner Applications

## Top Databricks Alternatives
  - [Cloudera Data Platform](https://www.g2.com/products/cloudera-cloudera-data-platform/reviews) - 4.1/5.0 (131 reviews)
  - [Snowflake](https://www.g2.com/products/snowflake/reviews) - 4.6/5.0 (690 reviews)
  - [Teradata Vantage](https://www.g2.com/products/teradata-teradata-vantage/reviews) - 4.3/5.0 (353 reviews)