--- title: Cloudera Reviews meta_title: 'Cloudera Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 136 reviews by the users' company size, role or industry to find out how Cloudera works for a business like yours. aggregate_rating: rating_value: 4.1 review_count: 136 scale: '5' date_modified: '2026-07-13' parent_category: name: Big Data url: https://www.g2.com/categories/big-data --- # Cloudera Reviews **Vendor:** Cloudera **Category:** [Big Data Processing And Distribution Systems](https://www.g2.com/categories/big-data-processing-and-distribution) **Average Rating:** 4.1/5.0 **Total Reviews:** 136 ## About Cloudera Cloudera is the only hybrid data and AI platform company that large organizations trust to bring AI to their data anywhere it lives. Unlike other providers, Cloudera delivers a consistent cloud experience that converges public clouds, on-prem data centers, and the edge, leveraging a proven open-source foundation. As the pioneer in big data, Cloudera empowers businesses to apply AI and assert control over 100% of their data, in all forms, improving security, governance, and real-time and predictive insights. The world’s largest brands across all industries rely on Cloudera to transform decision-making and ultimately boost bottom lines, safeguard against threats, and save lives. The Cloudera data and AI platform includes: Cloudera AI: Deploy and scale any AI model, anywhere. Cloudera brings compute to governed data where it lives for Private AI anywhere by design. Complete control, security, and governance of mission-critical data, models, agents, and inference ensure faster sovereign AI deployments. Cloudera Data-in-Motion: Make fast decisions from real-time data anywhere. Move data with any structure from any source to any destination seamlessly across hybrid environments, enabling in-the-moment business-critical decisions by processing and analyzing real-time data anywhere, from the edge to AI, as business happens. Cloudera Open Data Lakehouse: Process any data, anywhere, for actionable insights. Make smart decisions with an open data lakehouse powered by Apache Iceberg that delivers trusted, reliable, and unified data to fuel agents, AI applications, and analytics, improving collaboration, breaking silos, and simplifying sharing. Cloudera Unified Data Fabric: Unify security and governance across the entire data estate. Move beyond fragmented data management: Break down silos and connect disparate data sources intelligently and securely to provide a unified view of all organizational data and centralized end-to-end control across complex hybrid data environments. ## Cloudera Pros & Cons **What users like:** - Users value the **brilliant and easy-to-use interface** of Cloudera, enhancing their experience in managing big data. (22 reviews) - Users value the **easy scalability** of Cloudera, which effectively handles large volumes of data management. (17 reviews) - Users praise Cloudera for its **robust security features** , ensuring reliable and safe data management across platforms. (9 reviews) - Users value the **comprehensive suite of tools** offered by Cloudera for efficient data management and analytics. (8 reviews) - Users value the **scalability and ease of use** in Cloudera, enhancing efficiency in data handling and administration. (8 reviews) - Performance (8 reviews) - Automation (6 reviews) - Customer Support (6 reviews) - Easy Integrations (6 reviews) - Data Security (5 reviews) **What users dislike:** - Users find Cloudera to be **expensive** to run, raising concerns about its cost-effectiveness and maintenance requirements. (16 reviews) - Users find Cloudera's **complexity** challenging, particularly for SQL queries and customization, impacting usability for beginners. (7 reviews) - Users note the **difficult learning curve** with Cloudera, making it challenging for beginners to navigate effectively. (5 reviews) - Users find **poor documentation** makes navigating Cloudera's features and configurations challenging, hindering their overall experience. (4 reviews) - Users face **access issues** with Cloudera, including unauthorized errors and limited documentation, hindering overall usage. (3 reviews) - Beginner Unfriendliness (3 reviews) - Integration Issues (3 reviews) - Complex Processes (2 reviews) - Complex Setup (2 reviews) - Cost (2 reviews) ## Cloudera Reviews ### 1. I have used this platform it is very compatible in terms of data processing and etl tool **Rating:** 4.5/5.0 stars **Reviewed by:** Chandan K. | Business analyst, Small-Business (50 or fewer emp.) **Reviewed Date:** September 05, 2023 **What do you like best about Cloudera?** It have various types of pre installed software that is very useful and time saving in terms of computation **What do you dislike about Cloudera?** It is heavy software and neet enough ram to run smoothly **What problems is Cloudera solving and how is that benefiting you?** It is solving the problem of data communication, data extraction and manipulation etc ### 2. Efficient data pipeline to any scale **Rating:** 5.0/5.0 stars **Reviewed by:** Rajanbhai P. | Senior Software Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** September 13, 2023 **What do you like best about Cloudera?** Its best in class data pipeline which made really optimize work **What do you dislike about Cloudera?** Dont have any dislike as such but UI could be better **What problems is Cloudera solving and how is that benefiting you?** I can use it to automate the process of monitoring and debugging my data pipelines. ### 3. CDP Review **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Pharmaceuticals | Enterprise (> 1000 emp.) **Reviewed Date:** October 31, 2023 **What do you like best about Cloudera?** Cloudera has sort of reinvented itself from its erstwhile legacy capabilities to market relevant Data capabilities in tune with Data Science needs. Good features. **What do you dislike about Cloudera?** Image makeover is yet to happen. Product transformation seems to have. Better marketing of product transformations and its features would help **What problems is Cloudera solving and how is that benefiting you?** Building machine learning applications ### 4. Excelent **Rating:** 4.5/5.0 stars **Reviewed by:** Ahmed S. | python programmer, Small-Business (50 or fewer emp.) **Reviewed Date:** June 19, 2023 **What do you like best about Cloudera?** It serve my business, help me in reaching more customers and help my customers to find my software . **What do you dislike about Cloudera?** Technical support , mobile app , company location . **What problems is Cloudera solving and how is that benefiting you?** marketing, provide good references , ease to use, ai ### 5. Very good experience **Rating:** 3.5/5.0 stars **Reviewed by:** Shini S. | Junior IT Operations & QA Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** September 07, 2023 **What do you like best about Cloudera?** Database management system is very good. We can easily access the database of cloudrea. **What do you dislike about Cloudera?** Functions of the operational DB is very easily and understandable. **What problems is Cloudera solving and how is that benefiting you?** Easily managing the database. It's very helpful to handle the data. ### 6. Best for all kinds of data **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** November 21, 2023 **What do you like best about Cloudera?** Can be used with all data be it customer or internal **What do you dislike about Cloudera?** Cost is a bit more than standard, but that is not too bad **What problems is Cloudera solving and how is that benefiting you?** Ensures flexibility and security in data management across various platforms ### 7. Review for Cloudera Analytic DB **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Banking | Enterprise (> 1000 emp.) **Reviewed Date:** September 26, 2023 **What do you like best about Cloudera?** Cloudera Analytic DB gives a solution configured to all the data needs. It helps to play and summaroze the historical and rela time data more efficiently. It delivers hybrid data platform with secure data management and portable cloud data analytics tools. **What do you dislike about Cloudera?** As a bit related to cloud...little bit worry about security. **What problems is Cloudera solving and how is that benefiting you?** Helps to store data in historical and real time manner. ### 8. Great experience, quick learning, very informative and excellent **Rating:** 5.0/5.0 stars **Reviewed by:** Anubha K. | Enterprise (> 1000 emp.) **Reviewed Date:** September 17, 2023 **What do you like best about Cloudera?** The different integrations it allows like with spark, airflow, **What do you dislike about Cloudera?** Nothing just that it takes sometime to get used to the interface **What problems is Cloudera solving and how is that benefiting you?** Big data related problems and analysis ### 9. Very Nice and scalable **Rating:** 4.5/5.0 stars **Reviewed by:** shwetank s. | Enterprise (> 1000 emp.) **Reviewed Date:** August 14, 2023 **What do you like best about Cloudera?** It's centralized ,scalable and can be ESI used with hue Also the huge amount of data is processed quickly **What do you dislike about Cloudera?** Very costly also number of people working on it are small **What problems is Cloudera solving and how is that benefiting you?** Data can be stream from BI ANALYSTS can be easily connected with amazon ### 10. Cloudera DATA Platform review **Rating:** 2.0/5.0 stars **Reviewed by:** Verified User in Wholesale | Enterprise (> 1000 emp.) **Reviewed Date:** November 23, 2023 **What do you like best about Cloudera?** Scalability to go Hybrid Cloud with on Premise solution **What do you dislike about Cloudera?** Complicated to implement for technical teams,its not so easy for first timers **What problems is Cloudera solving and how is that benefiting you?** help to give customer expereince of Hybrid cloud scalbility ### 11. Easy to stock chunks of info **Rating:** 4.5/5.0 stars **Reviewed by:** Junior H. | English Program Coordinator, Small-Business (50 or fewer emp.) **Reviewed Date:** July 25, 2023 **What do you like best about Cloudera?** It is user friendly and that somthing that you might find useful overall in this type of apps. **What do you dislike about Cloudera?** The access to more pro features, since they are not luxury but a need. **What problems is Cloudera solving and how is that benefiting you?** I was just wondering how to ise the app at all not really biggy in applying it to business. ### 12. Very easy to deploy on on-premise **Rating:** 4.5/5.0 stars **Reviewed by:** Yogesh T. | Senior Applied Data Scientist, Mid-Market (51-1000 emp.) **Reviewed Date:** March 31, 2023 **What do you like best about Cloudera?** Model management is easy, and collaboration with others in a notebook environment is fantastic. Another amazing thing is support from the Cloudera team on documentation and learning resources. Great partnership. **What do you dislike about Cloudera?** It's very complex to customize and take advantage of all features. I believe this can be worked on and made more user-friendly. Sometimes it becomes very hard to debug the error. Not beginner friendly. **What problems is Cloudera solving and how is that benefiting you?** The main use of their workbench is to experiment with models before deployment. The other thing is that I don't need to download any libraries separately, and each user has a separate environment. Reproducibility is also very easy when you work with multiple members. ### 13. Experience using Cloudera Data engineering **Rating:** 4.5/5.0 stars **Reviewed by:** Rabbani I. | Operations Manager, Mid-Market (51-1000 emp.) **Reviewed Date:** September 09, 2023 **What do you like best about Cloudera?** Ease of access, and smooth integration with third party services. **What do you dislike about Cloudera?** I wouldn't dislike anything about cloudera data engineering. **What problems is Cloudera solving and how is that benefiting you?** Data pipelines from third party vendor applications. ### 14. It's good to built knowledge **Rating:** 5.0/5.0 stars **Reviewed by:** Rushikesh S. | Application Support Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** September 14, 2023 **What do you like best about Cloudera?** It's open source and free structure type values of data **What do you dislike about Cloudera?** Nothing else. It's no any others exception for this **What problems is Cloudera solving and how is that benefiting you?** No any ### 15. Good service and support **Rating:** 5.0/5.0 stars **Reviewed by:** Vivek i. | Associate Consultant, Small-Business (50 or fewer emp.) **Reviewed Date:** September 11, 2023 **What do you like best about Cloudera?** Support team from cloudera is very good, quick and user friendly **What do you dislike about Cloudera?** Price of the database can be reduced with custom aspects. **What problems is Cloudera solving and how is that benefiting you?** Pricing ### 16. Cloudera Review **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer & Network Security | Small-Business (50 or fewer emp.) **Reviewed Date:** June 09, 2023 **What do you like best about Cloudera?** Cloudera is highly regarded for its robust and scalable big data solutions, emphasis on security, user-friendly interfaces, and strong support network. **What do you dislike about Cloudera?** While Cloudera is a prominent player in the big data market, there are other viable alternatives available. Organizations should consider exploring different platforms to determine which one best aligns with their specific requirements, budget, and existing technology ecosystem. **What problems is Cloudera solving and how is that benefiting you?** Extracting insights and value from big data is a complex task. Cloudera provides a range of analytics capabilities, including machine learning, data visualization, and predictive modeling. These tools enable organizations to derive actionable insights, make data-driven decisions, and uncover hidden patterns and trends within their data. ### 17. Dropped the ball and company is in disarray **Rating:** 1.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** August 04, 2023 **What do you like best about Cloudera?** Was the coolest thing In 2014 when Big Data was the trend **What do you dislike about Cloudera?** Lacks strategy and vision, chases trends and defers core customers **What problems is Cloudera solving and how is that benefiting you?** Hadoop platform ### 18. Best for data management **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Civic & Social Organization | Small-Business (50 or fewer emp.) **Reviewed Date:** September 13, 2023 **What do you like best about Cloudera?** Cloudera is helpful for menaging varitey of dada. It gives good dada analysis options. **What do you dislike about Cloudera?** I am liking the use of Cloudera. Nothing here till now. **What problems is Cloudera solving and how is that benefiting you?** Manage big amount of data. Transfer complex data. Platform for data management ### 19. My experience with cloudera is good **Rating:** 5.0/5.0 stars **Reviewed by:** Suresh S. | Data Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** June 19, 2023 **What do you like best about Cloudera?** EASY to use and friendly. Most of the time it works without any issues. **What do you dislike about Cloudera?** Have to improve on providing documentation for various errors **What problems is Cloudera solving and how is that benefiting you?** I have used Cloudera while in a company to solve mobile network related issues using big data analytics ### 20. Good for seasoned data scientists **Rating:** 4.0/5.0 stars **Reviewed by:** Smruthi K. | Senior Data Scientist, Mid-Market (51-1000 emp.) **Reviewed Date:** May 05, 2023 **What do you like best about Cloudera?** Scalable infrastructure for data science workloads as it's built on Hadoop ecosystem **What do you dislike about Cloudera?** Not suitable for low level of technical expertise. Drag and drop options and visual modelling tools are lacking **What problems is Cloudera solving and how is that benefiting you?** As all our data is stored in HDFS, cloudera data lake, the seamless integration of data between CDS and data lake was very useful in building the models and training on large datasets ### 21. The best tool for data engineering and bigdata **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** September 14, 2023 **What do you like best about Cloudera?** Easy to understand and mostly the way it is being created. **What do you dislike about Cloudera?** I haven't seen marketing of cloudera the way it should required and reach to people **What problems is Cloudera solving and how is that benefiting you?** Mostly related to self learning. ### 22. Cloudera Data Flow(CDF) honest reviews **Rating:** 4.0/5.0 stars **Reviewed by:** Aditya K. | Lead Software Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** August 08, 2022 **What do you like best about Cloudera?** We are leveraging Kafka of Cloudera Data flow for streaming analytics. CDF provides us real time data which is critical for producing live dashboards and also the amount of data streaming (in petabytes) helps us to have CDF as one stop shop for live data analysis **What do you dislike about Cloudera?** Kafka of CDF although is scalable however it has a lot of lag problems and needs complex tuning. When the lag occurrs that is the current offset is more than consumer end offset, a lag in 6-7 figures can be seen that means the stale records reaches to around 1 million at times due to which the dashboard waits for latest data and it sometimes takes hours to fetch that and sometimes restart of service is also required to fix that **What problems is Cloudera solving and how is that benefiting you?** Cloudera Data flow helps us to produce and consume millions of streaming records based on which our live dashboards as well as reports are created. CDF UI helps to manage the service easily as we do not have to login to the service each time we need to make configuration changes ### 23. Very robust and scalable application **Rating:** 5.0/5.0 stars **Reviewed by:** Ishita G. | Senior Data Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** June 19, 2023 **What do you like best about Cloudera?** It is wonderful technology to use while working on the confidential data **What do you dislike about Cloudera?** Hope to see more UI improvements in future **What problems is Cloudera solving and how is that benefiting you?** Building big data solutions and working on large scale data ### 24. It's flexible and mission critical **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Consulting | Mid-Market (51-1000 emp.) **Reviewed Date:** September 14, 2023 **What do you like best about Cloudera?** Faster development and deployment of mission critical application **What do you dislike about Cloudera?** It's bit complex for SQL queries and alsp cost is also a concern **What problems is Cloudera solving and how is that benefiting you?** Na ### 25. Review of Operational DB **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Retail | Mid-Market (51-1000 emp.) **Reviewed Date:** July 25, 2023 **What do you like best about Cloudera?** COD automates many of the tasks that are typically associated with database administration, such as provisioning, scaling, and monitoring. **What do you dislike about Cloudera?** Nothing as of now. Need to explore more. **What problems is Cloudera solving and how is that benefiting you?** Using COD to store and analyze customer data. COD's security features are helping the company protect its customers' data. ### 26. CDF review **Rating:** 3.5/5.0 stars **Reviewed by:** Bidisha P. | Senior Speclialist (Vendor Master Data), Enterprise (> 1000 emp.) **Reviewed Date:** August 08, 2022 **What do you like best about Cloudera?** Cloudera Data Flow(CDF) provides us a single platform for analysis of real time streaming data. We mostly use CFM, CEM to push agents data and Kafka to push live data which is then consumed by spark and after cleaning the financial reports are created. **What do you dislike about Cloudera?** Kafka which was earlier a part of CDP(cloudera data platform) has been moved to CDF which makes us buy a separate subscription and hence incur more costs to the project. This was a smart move by Cloudera to make more money but surely hurts us as the service that we used along with CDP now has to be purchased as it comes under CDF umbrella **What problems is Cloudera solving and how is that benefiting you?** Reports creation Data Analysis Data Cleansing Dashboards creation using Kafka messages Intuitive UI which helps us configure and manage the services in one place ### 27. Amazing tool **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** April 18, 2023 **What do you like best about Cloudera?** It provides a user friendly interface to look for the data in a efficienct manner and makes it easy for users to get down to business quickly. **What do you dislike about Cloudera?** Minor learning curve for beginners compared to the competition **What problems is Cloudera solving and how is that benefiting you?** It helps in drilling down to the business use case ### 28. Cloudera data science **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Banking | Enterprise (> 1000 emp.) **Reviewed Date:** April 18, 2023 **What do you like best about Cloudera?** Ease of doing business, multi cluster, easy distribution to change **What do you dislike about Cloudera?** System has lot many nodes so it needs more ram to run **What problems is Cloudera solving and how is that benefiting you?** Fast running queries and get the data available ### 29. Very interactive environment **Rating:** 5.0/5.0 stars **Reviewed by:** Fatima N. | Senior Software Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** December 13, 2022 **What do you like best about Cloudera?** Projects can be created under context which helps manage the work **What do you dislike about Cloudera?** Nothing as of now, everything seems to be going good for me **What problems is Cloudera solving and how is that benefiting you?** We can run the code partially which helps save a lot of time ### 30. Your powerful cloud machine **Rating:** 4.5/5.0 stars **Reviewed by:** Vivek G. | Data Scientist, Small-Business (50 or fewer emp.) **Reviewed Date:** March 23, 2022 **What do you like best about Cloudera?** The only platform to analyze and process big data. It is useful for me for creating, channeling, and visualizing all types of structured and unstructured data. It is customizable and easy to use for anyone having little experience with cloud services. **What do you dislike about Cloudera?** Having its competitors like Kaggle and google collab pro, they all offer some attractive packages compared to Cloudera. Still, Cloudera has its benefits that others don't have like managing big data clusters directly from the browser etc. Another disadvantage is Installation is a little difficult. **Recommendations to others considering Cloudera:** I recommend them to promote this product to college students in their early learning phase so they can explore the various services which helps them learning and manage big data in everyday life. **What problems is Cloudera solving and how is that benefiting you?** Used it for a personal project where we had to map transactions to a tag, and also we had to cluster similar transactions based on API calls. It greatly improved the latency during our test. ### 31. Cloudera to access hive data **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.) **Reviewed Date:** May 10, 2022 **What do you like best about Cloudera?** The best is for the leverage they provide although there is no free version to use, you need to contact a vendor support is excellent it's only web-based and one can have a data warehouse here doesn't matter if it's for any scale company I also like the LDAP authentication it provides as it won't require password to access your hive database **What do you dislike about Cloudera?** There is nothing yet I could say that I dislike something. yes, a demo can be given to users to know how it can benefit them. else everything seems good for me. **What problems is Cloudera solving and how is that benefiting you?** The problem of connecting hive data which is big data to python script was solved by the Cloudera DB driver. The Hadoop data is accessed by the driver use and it eventually helped in one of our projects above is just one of the scenario ### 32. Big big data **Rating:** 4.5/5.0 stars **Reviewed by:** volkan k. | Data Consultant, Small-Business (50 or fewer emp.) **Reviewed Date:** May 06, 2022 **What do you like best about Cloudera?** For big data good performance, fast query. **What do you dislike about Cloudera?** Good performance but insufficient turkish support **Recommendations to others considering Cloudera:** For big data is very useful, robust and fast. **What problems is Cloudera solving and how is that benefiting you?** We have so much query task in a day. We need speed. ### 33. Cloudera **Rating:** 4.0/5.0 stars **Reviewed by:** A P. | Freelance Data science/ big data trainer, Mid-Market (51-1000 emp.) **Reviewed Date:** June 29, 2022 **What do you like best about Cloudera?** Big data processing, Ease of use with Hue **What do you dislike about Cloudera?** Hue could have been improved better. Freeware quickstart vm is now not available for learners. **Recommendations to others considering Cloudera:** If you are learning and experimenting with Big Data Analytics, Cloudera would be the best solution to select the platform. **What problems is Cloudera solving and how is that benefiting you?** Big Data Hadoop cluster ### 34. This is enterprise platform for data analytics project **Rating:** 3.5/5.0 stars **Reviewed by:** Pawan K. | Bigdata Platform Architect at HCL Technologies Limited, Enterprise (> 1000 emp.) **Reviewed Date:** March 15, 2022 **What do you like best about Cloudera?** This is a nice GUI-based analytics platform and a well-orchestrated collection of tools and languages like Python, R, scala. **What do you dislike about Cloudera?** Little bit of high Costing and some platform administration required **Recommendations to others considering Cloudera:** Excellent Data security protocol and User friendly and easy to integrate with the open-source database **What problems is Cloudera solving and how is that benefiting you?** No need to install separately Knime and Anaconda kind of platform for data cleansing, wrangling and performing analytics, this is full package of data analytics ### 35. Best data processing along with storage **Rating:** 4.0/5.0 stars **Reviewed by:** Kumar G. | Embedded Software Engineer 2, Small-Business (50 or fewer emp.) **Reviewed Date:** June 20, 2022 **What do you like best about Cloudera?** Its ability to interact with hadoop and process large data **What do you dislike about Cloudera?** Documention is some times tricky to understand **What problems is Cloudera solving and how is that benefiting you?** Huge Data processing. ### 36. Average product with poor support **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** July 19, 2022 **What do you like best about Cloudera?** Performance, AI capabilites and good integration **What do you dislike about Cloudera?** Support and poor documentation, limited customisation **What problems is Cloudera solving and how is that benefiting you?** Cloudera CDP for cloud cost optimiztion data warehouse ### 37. Cloudera Analytic DB solves the developers problem in development and analysis of data **Rating:** 4.0/5.0 stars **Reviewed by:** Muhammad U. | Database Developer, Mid-Market (51-1000 emp.) **Reviewed Date:** August 30, 2021 **What do you like best about Cloudera?** The best thing about Cloudera Analytic DB is its purchasing process. It usually uses for HDFS clusters to store large amounts of data. After storing the data it provides very handy features to perform analytics on this data. It provides good replication as well as a data recovery mechanism. Cloudera has very good performance when it comes to data migration. **What do you dislike about Cloudera?** Overall my experience with Cloudera was good but there are few things that I think need to make them better. The log visibility feature needs improvements. Please make an easy interface as provide a little bit of extra description about logging. The second thing is that they increase costs constantly. **What problems is Cloudera solving and how is that benefiting you?** I solved data replication and data migration problems with Cloudera DB. They provide very detailed documentation about both of these processes. I never needed their customer support for any issue. ### 38. Intuitive and secure platform giving deep insights from the data **Rating:** 5.0/5.0 stars **Reviewed by:** Abhinn L. | Data Scientist, Enterprise (> 1000 emp.) **Reviewed Date:** January 11, 2022 **What do you like best about Cloudera?** Data Security of the platform and the ease of use **What do you dislike about Cloudera?** Can be more cost effective as compared to AWS and GCP **What problems is Cloudera solving and how is that benefiting you?** Data pipelines creation and visualization of data ### 39. Very good Hybrid Data Cloud provider **Rating:** 4.0/5.0 stars **Reviewed by:** Minh N. | Data Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** January 18, 2022 **What do you like best about Cloudera?** Flexibility - There are various choices of service **What do you dislike about Cloudera?** Some documents are not clear for beginners **What problems is Cloudera solving and how is that benefiting you?** Serverless data pipelines on cloud ### 40. Overview of the operational Database **Rating:** 2.5/5.0 stars **Reviewed by:** Tanvi P. | Database Administrator, Small-Business (50 or fewer emp.) **Reviewed Date:** June 16, 2021 **What do you like best about Cloudera?** The interesting point is it's an operational database that supports both SQL and NoSQL with wide column support gives flexibility for usage according to our use-case and requirements. It's a cloud database having auto-scale and auto-management features. CDP Operational Database supports active-active architectures across on-premises and the cloud, across cloud regions, or across cloud vendors **What do you dislike about Cloudera?** No such dislikes so far. Need to test and get hands-on before considering to start the application work **What problems is Cloudera solving and how is that benefiting you?** Cloudera Manager provides configuration parameters that can help tune the database. Can help with Real-time data analytics. Database using real-time replication, enabling applications to migrate quickly and easily. ### 41. compare Cloudera wuth Data Bricks **Rating:** 2.0/5.0 stars **Reviewed by:** veena k. | Director Software Development **Reviewed Date:** June 21, 2021 **What do you like best about Cloudera?** ability to crunch data. Large volume of data could get processed in a short time **What do you dislike about Cloudera?** its cost is high and also, not very administrator friendly **What problems is Cloudera solving and how is that benefiting you?** need to create a data lake. But have problems in integrating some ML tools ### 42. Data Analytics and Engineering on HDP **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Marketing and Advertising | Mid-Market (51-1000 emp.) **Reviewed Date:** July 03, 2021 **What do you like best about Cloudera?** Open source Apache Hadoop based platform for Bigdata **What do you dislike about Cloudera?** Few features lack in HDP management tool ambari compared to other distribution like Cloudera **What problems is Cloudera solving and how is that benefiting you?** Bigdata lake which provides base for many analytics tools and data warehousing solution ### 43. Streaming large data with Cloudera **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** November 20, 2020 **What do you like best about Cloudera?** Clousera (Big data)is the one of the best solution for large online streaming data processing. Feasible and flexible data processing is the feature of cloudera zeta bytes of data can be process in fraction of seconds one of the great feature is Hbase (Columnar database),Scala -Preferable programming language now a days, one of the good feature is reporting tool R(programming report tool). Cloudera shows the future of IT. **What do you dislike about Cloudera?** Cloudera is vast to adopt each feature needs to be run in very high configured systems. **What problems is Cloudera solving and how is that benefiting you?** We are processing large amount of streaming data and generating the report in R tool, Processing speed is very great and we can't able to survive without this, It shows one of the leading standard technology in day today data processing world. ### 44. The Best hadoop Aplication. **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Telecommunications | Enterprise (> 1000 emp.) **Reviewed Date:** April 09, 2020 **What do you like best about Cloudera?** You can use it for big data analysis. You can do very good work by importing sql logs into hadoop environment. We can find top-up theft or rogue phones directly. It is a new generation analyst system. You can easily find out where and how. **What do you dislike about Cloudera?** There are deficiencies in support exactly. The number of skilled engineers is very few. **What problems is Cloudera solving and how is that benefiting you?** We can analyze customer mobile usage. ### 45. Cloudera Admininstration and along with Documentation makes this an easier platform to administer **Rating:** 4.0/5.0 stars **Reviewed by:** Jeff V. | Oracle Apps DBA, Enterprise (> 1000 emp.) **Reviewed Date:** September 27, 2019 **What do you like best about Cloudera?** We are doing a POC with Cloudera. From a technical implementation, upgrade, and administration of the platform is much easier than other technologies I have had to support. After our initial installation we have upgraded 3 times and the documentation provide almost brings you step by step and have not had any post upgrade issues. **What do you dislike about Cloudera?** So far during our POC I do not have any glaring dislikes from a technical administration perspective. Maybe additional free online training and resources would be helpful. **What problems is Cloudera solving and how is that benefiting you?** It has allowed us to get gigs of data into Cloudera really fast which helps us to quickly analyze the data and provide valuable insights to our business that we didn't have before. ### 46. Solid Hadoop Platform with Awesome Support **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Computer Hardware | Enterprise (> 1000 emp.) **Reviewed Date:** April 18, 2019 **What do you like best about Cloudera?** Very Stable Platform and Cloudera is very quick on adding/enhancing features and always some thing to learn, explore and apply to business needs. Customer Support is brilliant and issue resolution and RCA is very detailed. Engineering teams are more pro-active. Cloudera Data Sciense Workbenck is one tool which data scientists leverage for end-to-end analytics and DS. **What do you dislike about Cloudera?** No mush dislikes.. Looking for tools and APIs integrate more with DW Platforms. Data Ingestion should also be made more simpler instead relying on other vendor tools. CDSW should be extended to leverage data in different data base platforms as well as hdfs. **What problems is Cloudera solving and how is that benefiting you?** Data Streaming from various sources, BI Analytics, 360 degree view of customer, Quality Intelligence & Analytics, Query Federation with DW Platforms ### 47. Analysis to streamline workload of a BI Tool **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Small-Business (50 or fewer emp.) **Reviewed Date:** June 21, 2019 **What do you like best about Cloudera?** Enhance long-running analytics workloads with a more cost-effective storage layer and an engine for quicker query responses. **What do you dislike about Cloudera?** Nothing for now is flexible, easy to work with, and very affordable. It fits the demands of the company or organizations, making work a lot easier with its features. **Recommendations to others considering Cloudera:** A very fantastic product, easy to use, quite pricey but it's okay. **What problems is Cloudera solving and how is that benefiting you?** I use it for solving daily operations, which have been very useful and effective in streamlining the workload and making it much easier to manage. ### 48. Production Ready Big Data Environment **Rating:** 4.5/5.0 stars **Reviewed by:** Sumera Q. | Member of technical staff, Mid-Market (51-1000 emp.) **Reviewed Date:** May 30, 2019 **What do you like best about Cloudera?** I have been using cloudera big data engineering for quite some time now and the way they have integrated all the different services together is flawless **What do you dislike about Cloudera?** Sometimes the UI becomes little slow but that is not a show stopper, its manageable. **Recommendations to others considering Cloudera:** Cloudera is one the top tool in the industry **What problems is Cloudera solving and how is that benefiting you?** Big data solutions ### 49. Close to success **Rating:** 3.0/5.0 stars **Reviewed by:** Verified User in Real Estate | Mid-Market (51-1000 emp.) **Reviewed Date:** October 29, 2018 **What do you like best about Cloudera?** Hortonworks two main pillars are HDP (Hortonworks Data Platform) and HDP (Hortonworks Data Flow). The former applies to the infrastructure required for building and deploying a data lake, and the latter is about ingestion, in batch or realtime. Both HDP and HDF rely entirely on opensource projects, this is a distinctive point about Hortonworks. **What do you dislike about Cloudera?** As an open source project collection, it relies strongly on community activity. You still have the option to contract premium consulting or training services. Altough it is quickly evolving into Data Science tools availability (eg. Tensorflow incorporate in HDP 3), it can be cumbersome from a developer transitioning from a traditional IDE, into the notebook vs. datalake metaphore. **Recommendations to others considering Cloudera:** Because of its open source platform. Make sure that it has the right integration into your current data field. **What problems is Cloudera solving and how is that benefiting you?** Typically it is used as an enterprise platform. There are very few companies that use it only departmentally. It solved the business problems of maintaining a pure open source Hadoop environment. It also solves for Disaster Recovery and Security. Hadoop was not designed for Security, but with Hortonworks Ranger and Kerberos, you can implement a world class security framework. ### 50. Cloudera Navigator **Rating:** 5.0/5.0 stars **Reviewed by:** Deepti A. | IAM / Security Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** September 16, 2018 **What do you like best about Cloudera?** 1) It is considerably a new technology which has a lot of scope in future. 2) It is mainly used for storing big data and processing of big data - this is what I like about cloudera! Last but not the least, it's open source - you don't have to pay anything. You just have to download and start using it! **What do you dislike about Cloudera?** To install and use cloudera Navigator, you must need a minimum of 16GB RAM and high processor in your Laptop/PC, this makes it difficult to use in normal PCs with lower configuration. **Recommendations to others considering Cloudera:** It's easy to use and it's open-source..meaning you don't have to buy. You can just download and start using it and I believe it solves your business problems! **What problems is Cloudera solving and how is that benefiting you?** One main business problem is big data. Companies want to store and process big data so they use cloudera navigator to store and process big data. ## Cloudera Discussions - [What is Cloudera used for?](https://www.g2.com/discussions/what-is-cloudera-used-for) - 1 comment - [Is cloudera a relational database?](https://www.g2.com/discussions/is-cloudera-a-relational-database) - 1 comment - [View Cloudera pricing details and edition comparison](https://www.g2.com/products/cloudera/reviews?page=2§ion=pricing&secure%5Bexpires_at%5D=2026-07-13+16%3A18%3A24+-0500&secure%5Bsession_id%5D=41ee037f-3096-43e1-a7ac-782a13d960f6&secure%5Btoken%5D=604420433e32315497cb08e84ce8ab37ec8b7f50dd19f5b29bc3d6bfb5411dfd&format=llm_user) ## Cloudera Integrations - [Amazon RDS on Outposts](https://www.g2.com/products/amazon-rds-on-outposts/reviews) - [Amazon Redshift](https://www.g2.com/products/amazon-redshift/reviews) - [Amdocs](https://www.g2.com/products/amdocs/reviews) - [APACHE](https://www.g2.com/products/apache/reviews) - [Azure](https://www.g2.com/products/hopem-azure/reviews) - [Azure Data Factory](https://www.g2.com/products/azure-data-factory/reviews) - [Impala](https://www.g2.com/products/impala/reviews) - [Spark](https://www.g2.com/products/apache-spark/reviews) ## Cloudera Features **Reports** - Reports Interface - Steps to Answer - Graphs and Charts - Score Cards - Dashboards **Data Governance** - User Access Management - Dynamic Data Masking - Data Lineage **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 Discovery - Multi - Platform - Metadata **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 ** - Data Schema - Query Language - ACID - Complaint - Data Replication **Data Management** - Data Model - Data Types **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 **Data management** - Metadata Management - Automation Features - Collaboration - Data Lineage - Data Discovery **Agentic AI - DataOps Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Decision Making **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 **Data Preparation** - Search - Data Quality and Cleansing - Data Transformation - Data Modeling **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 **Analytics** - Data Analytics **Integration** - AI/ ML Integration - BI Tool Integration - Data lake Integration **Maintenance** - Data Migration - Backup and Recovery - Multi-User Environment **Support ** - Text Search - Data Types - Languages - Operating Systems **Availability** - Auto Sharding - Auto Recovery - Data Replication **Security** - Access Control - Roles Management - Compliance Management **Operations** - Metrics - Infrastructure management - Collaboration **Analytics** - Analytics capabilities - Dasboard visualizations **Reporting** - Intelligent Insights - Actionable Insights - Dashboards **Machine/Deep Learning Services** - Computer Vision - Natural Language Processing - Natural Language Generation - Artificial Neural Networks **Integrations** - Hadoop Integration - Spark Integration **Collaboration** - Commenting - Profiling and Classification - Business and Data Glossary - Metadata Management **Data Quality** - Data Preparation - Data Distribution - Data Unification **Machine/Deep Learning Services** - Natural Language Understanding - Deep Learning **Security** - Compliance - Governance - Data Protection **Deployment** - On-Premise - Cloud **Security** - Data Encryption - User Access Control **Security** - Database Locking - Access Control - Encryption - Authentication **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 **Generative AI** - AI Text Generation - AI Text Summarization **Deployment** - Managed Service - Application - Scalability **Platform** - Machine Scaling - Data Preparation - Spark Integration **Connectivity** - Hadoop Integration - Spark Integration - Multi-Source Analysis - Data Lake **Artificial Intelligence** - Machine Learning Recommendations - Natural Language Query - Automatic Data Cleansing **Performance ** - Scalability **Performance ** - Disaster Recovery - Data Concurrency - Workload Management - Advanced Indexing - Query Optimizer **Security** - Role-Based Authorization - Authentication - Encryption **Cloud Deployment** - Hybrid cloud support - Cloud migration capabilities **Generative AI** - AI Text Generation - AI Text Summarization **Generative AI** - AI Text Generation - AI Text Summarization **Generative AI** - AI Text Generation - AI Text Summarization **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 - Notebooks **Support** - Multi-Model - Operating Systems **Security** - Data Governance - Data Security **Generative AI** - AI Text Generation - AI Text Summarization **Generative AI** - AI Text Generation - AI Text Summarization - AI Text-to-Image **Generative AI** - AI Text Generation - AI Text Summarization **Agentic AI - Data Governance** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Decision Making **Agentic AI - Data Fabric** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - 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 - Machine Learning Data Catalog** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Decision Making **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 **Database Features** - Storage - Availability - Stability - Scalability - Security - Data Manipulation - Query Language **Platform** - Mobile User Support - Customization - User, Role, and Access Management - Internationalization - Sandbox / Test Environments - Performance and Reliability - Breadth of Partner Applications ## Top Cloudera Alternatives - [Databricks](https://www.g2.com/products/databricks/reviews) - 4.6/5.0 (1,316 reviews) - [Snowflake](https://www.g2.com/products/snowflake/reviews) - 4.5/5.0 (707 reviews) - [Teradata Autonomous Knowledge Platform](https://www.g2.com/products/teradata-autonomous-knowledge-platform/reviews) - 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