Databricks Data Intelligence Platform Reviews & Product Details

I like how Databricks Data Intelligence Platform makes it easy to work with large amounts of data. It has strong support for time-series data analysis, which is our main use case, allowing us to analyze data over time, make trend analysis, and improve forecasting accuracy. I appreciate its better, user-friendly interface, which makes it easy to start with the setup. Also, it has improved prediction accuracy and reduced our data processing time with its low latency. Review collected by and hosted on G2.com.

everything seems good to me as of now. But one improvement that can be done is better documentation and community support. Review collected by and hosted on G2.com.

Databricks is very helpful for writing code in various languages, including SQL and Python, among others. It is also valuable for building pipelines and creating new notebooks, which assist in designing complex queries. Review collected by and hosted on G2.com.

The cost of the cluster we use is somewhat high, which restricts the amount of code we are able to run and execute. Review collected by and hosted on G2.com.

We handle sensitive financial data across both Azure and AWS. Before using Databricks, our access control was disorganized, with a confusing mix of different IAM roles. The lakehouse architecture now allows us to keep our data in one place, so we no longer need to move it to a separate warehouse. This has helped us avoid the extra storage costs that would have come with maintaining a separate warehouse. Review collected by and hosted on G2.com.

The only problem I have encountered is with the pricing; otherwise, I haven't faced any other issues. Review collected by and hosted on G2.com.

As a tour and travels organization our goal is to provide seamless and fast experience to our customers. With Databricks Data Intelligence we can track and manage our internal workflow very efficiently, as it gives a very brief report our analytics. We often uses it to scale our business and security. It's UI is very clean and easy to understand dashboard gives us total freedom of our management. Review collected by and hosted on G2.com.

The cost is greater compared to similar platforms. Review collected by and hosted on G2.com.

Databricks Data AI is a unified data engineering platform for lakehouse architecture with cloud integration like AWS, Azure, etc Review collected by and hosted on G2.com.

As of now, I have not observed any issue in the Databricks DATA AI plaform Review collected by and hosted on G2.com.

What I really like about the Databricks Data Intelligence Platform is how it brings everything together in one place. Instead of juggling different tools for data engineering, analytics, machine learning, and governance, you can do it all in a single environment. Review collected by and hosted on G2.com.

Honestly, what I find a bit frustrating about the Databricks Data Intelligence Platform is that while it’s incredibly powerful, it can also feel overwhelming at times. There’s a steep learning curve, especially for teams who are just getting started and don’t have much experience with Spark or distributed systems. Review collected by and hosted on G2.com.

Databricks excels at unifying data engineering, analytics, and AI/ML on a single platform. The Lakehouse architecture bridges the gap between data lakes and warehouses, making it incredibly efficient for managing structured and unstructured data. I especially appreciate the seamless integration with Apache Spark, robust notebook support for collaborative development, and the simplicity of Delta Lake for versioned data storage. Features like AutoML and Unity Catalog bring governance and intelligence together, making it easier to scale analytics securely and reliably. Review collected by and hosted on G2.com.

While powerful, the platform has a learning curve—especially for teams unfamiliar with Spark or distributed computing. Some features (like Unity Catalog or serverless compute) can be region-specific or limited by cloud provider compatibility. Additionally, job debugging and cluster cost management can be challenging without careful monitoring and tagging, particularly in enterprise-scale projects. Review collected by and hosted on G2.com.

Databricks offers useful features for machine learning engineers, such as the ability to use compute pools to run workloads efficiently. In addition, it includes the Unity Catalog, which is an excellent tool for managing data access controls. Review collected by and hosted on G2.com.

The product would benefit from having more built-in functions that are specifically optimized for GenAI use cases. Review collected by and hosted on G2.com.

What I like best about Databricks is its seamless integration of big data processing and AI. The notebook-based interface makes collaboration easy, and the use of Spark ensures fast performance. Delta Lake also provides reliable data versioning and management, which is extremely helpful in enterprise environments. Review collected by and hosted on G2.com.

One downside is that the initial setup and networking configuration can be complex and require technical expertise. Also, the cost can scale up quickly depending on usage, so cost monitoring is essential. Additionally, the lack of comprehensive documentation in some languages like Japanese can be a limitation. Review collected by and hosted on G2.com.

What I like the best about Databricks data intelligence platforms is the uninterrupted integration of data engineering, data science and AI workflows on an single platform, which improves cooperation, robustness and performance for large data and ML projects. Review collected by and hosted on G2.com.

The lowest useful aspect of Databricks data intelligence platform is its complication for new users and steep learning state, especially for those without a strong background in spark or distributed computing. Additionally, it can be expensive on a scale, and debugging large workflows can sometimes be challenging due to limited transparency in error tracing. Review collected by and hosted on G2.com.