--- 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: '2026-08-09' 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 appreciate the **brilliant and easy-to-use interface** of Cloudera, enhancing their data analysis experience. (22 reviews) - Users value the **seamless scalability** of Cloudera, effectively handling vast amounts of data with ease. (17 reviews) - Users appreciate the **strong security features** of Cloudera, ensuring reliable data management and protection. (9 reviews) - Users value Cloudera for its **comprehensive big data management tools** , enhancing their data handling and scalability experience. (8 reviews) - Users appreciate the **scalability and ease of use** of Cloudera, making data management and reporting effortless. (8 reviews) - Performance (8 reviews) - Automation (6 reviews) - Customer Support (6 reviews) - Easy Integrations (6 reviews) - Data Security (5 reviews) **What users dislike:** - Users note that Cloudera's platform can be **expensive** to maintain and challenging to set up, especially for beginners. (16 reviews) - Users find the **complexity** of Cloudera challenging, especially when managing SQL queries and customization. (7 reviews) - Users find the **learning curve steep** with Cloudera, making setup and navigation challenging for beginners. (5 reviews) - Users find Cloudera's **poor documentation** makes navigating complex data configurations challenging and complicates error resolution. (4 reviews) - Users face significant **access issues** with Cloudera, including authorization errors and limited documentation support. (3 reviews) - Beginner Unfriendliness (3 reviews) - Integration Issues (3 reviews) - Complex Processes (2 reviews) - Complex Setup (2 reviews) - Cost (2 reviews) ## Cloudera Reviews ### 1. Easy to Use, Reliable, and Great for Team Collaboration **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.) **Reviewed Date:** April 27, 2026 **What do you like best about Cloudera?** Easy to use, collaboration among the team and reliability. **What do you dislike about Cloudera?** Not that I know out of my mind. A better UI could be helpful. **What problems is Cloudera solving and how is that benefiting you?** A cloud platform for arrnging clsses, running virtual machines easily. ### 2. Navigating Big Data Challenges with Cloudera's Analytics Solution **Rating:** 4.0/5.0 stars **Reviewed by:** Subrat Kumar S. | Data Specialist, Mid-Market (51-1000 emp.) **Reviewed Date:** November 22, 2023 **What do you like best about Cloudera?** Cloudera Analytics DB is my top pick because it delivers unmatched performance and seamlessly integrates with powerful analytics features. It just nails it when it comes to handling large datasets – exactly what I need for my analytics tasks. **What do you dislike about Cloudera?** Cloudera Analytics DB is strong on data processing, but its documentation could be more detailed, making it challenging for users to navigate complex data configurations. Improving documentation clarity would greatly enhance the overall user experience with the platform. **What problems is Cloudera solving and how is that benefiting you?** Cloudera Analytics DB is a game-changer for relational database management. It tackles the headaches of handling extensive relational data with finesse. The optimized performance is a relief, providing me with efficient solutions for data-intensive tasks. ### 3. Analytics via Cloudera Stream Processing **Rating:** 4.0/5.0 stars **Reviewed by:** Amit B. | Software Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** December 06, 2023 **What do you like best about Cloudera?** One of the best CSPs to convert streams into data points which are useful for analytics. We use it for all the analytics events. Very easy to maintain and use. Customer Support is really good. Helped a lot during integration. **What do you dislike about Cloudera?** Documentation can be better. Integration can be made a bit more easy. **What problems is Cloudera solving and how is that benefiting you?** It helps us in solving the analytics piece of the entire product. We are able to stream events into the platform which is used for analysis. We have been able to derive valuable insights. ### 4. One of the best platforms for data operations, business intelligence, and machine learning **Rating:** 4.0/5.0 stars **Reviewed by:** Neeraj V. | Junior Software Developer - AI Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** November 29, 2023 **What do you like best about Cloudera?** Excellent support for Machine Learning services. I can create and deploy my own models or use one of the AMPs in a robust environment. And I can easily scale up my applications using the Pyspark or Hadoop **What do you dislike about Cloudera?** I couldn't find anything in particular to dislike, but the pricing could be better, but that's understandable after the merger with Horton **What problems is Cloudera solving and how is that benefiting you?** It effectively addresses my data management challenges, for academically and sometimes work-related. It makes data handling simple, more efficient and enhances my overall productivity ### 5. Review CloudEra data **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Small-Business (50 or fewer emp.) **Reviewed Date:** December 26, 2023 **What do you like best about Cloudera?** Cloudera Data Platform is like a super-smart organizer for data, helping companies handle lots of information easily and securely. It works well with big data and lets businesses analyze and use their data smartly, making decisions based on facts. **What do you dislike about Cloudera?** Some folks find Cloudera Data Platform a bit tricky to set up and costly to run, like a high-maintenance gadget. It might feel a bit complicated for beginners, and the buttons aren't as easy to figure out as some other tools. **What problems is Cloudera solving and how is that benefiting you?** Cloudera Data Platform helps tp organize and make sense of their big data, making it easier to find valuable insights and make smart decisions. ### 6. Seamless data ingestion and transformation for Big Data **Rating:** 4.0/5.0 stars **Reviewed by:** Rajan Kumar Y. | Lead Machine Learning Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** December 12, 2023 **What do you like best about Cloudera?** We have recently used Cloudera for one of our data pipeline to ingest and transform the data and finally store to the Data Lake. And the overall process was smooth and the inbuilt tools elevated the experience of data handling at various stages **What do you dislike about Cloudera?** There should be some inbuilt integration tool to ingest and transform the data with Azure ADF pipeline integration. **What problems is Cloudera solving and how is that benefiting you?** Create sanitized data Lake to achieve data ingestion and transformation ### 7. Cloudera Platform Review **Rating:** 4.0/5.0 stars **Reviewed by:** PRASANTH P. | Senior Associate, Enterprise (> 1000 emp.) **Reviewed Date:** December 21, 2023 **What do you like best about Cloudera?** Cloudera is known for its comprehensive suite of tools for big data management and analytics. Many users appreciate its scalability, robustness, and the ease with which it integrates various big data technologies. **What do you dislike about Cloudera?** However, some users have mentioned challenges with the complexity of setting up and maintaining the Cloudera Data Platform, as well as concerns about licensing costs. **What problems is Cloudera solving and how is that benefiting you?** Unified Data Management Scalability Advance analytics ### 8. Cloudera Distribution for Hadoop,the open source Hadoop project. **Rating:** 4.0/5.0 stars **Reviewed by:** Kuldeep K. | Lead Software Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** June 08, 2023 **What do you like best about Cloudera?** Enterprise-grade features: Cloudera Distribution for Hadoop includes a number of features that make it easier to use Hadoop for enterprise applications, such as security, scalability, and manageability. Commercial support: Cloudera offers commercial support for Cloudera Distribution for Hadoop, which can be helpful for businesses that need help with installation, configuration, and troubleshooting. Community: Cloudera has a large and active community of users and developers, which can be helpful for businesses that need help with using or extending Cloudera Distribution for Hadoop. **What do you dislike about Cloudera?** Cost: Cloudera Distribution for Hadoop is a commercial product, so it can be more expensive than using an open source distribution of Hadoop. Lock-in: Cloudera Distribution for Hadoop is a proprietary product, so businesses that use it may be locked into using Cloudera for support and maintenance. Complexity: Cloudera Distribution for Hadoop is a complex product, so businesses that use it may need to have a team of experienced engineers to manage it. **What problems is Cloudera solving and how is that benefiting you?** Cloudera Distribution for Hadoop is a good choice for businesses that need an enterprise-grade Hadoop distribution with commercial support and a large community of users and developers. ### 9. Review for Cloudera Analytic DB **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.) **Reviewed Date:** December 15, 2023 **What do you like best about Cloudera?** Cloudera Analytic DB is a hybrid cloud database platform that offers business intelligence (BI) and SQL analytics capabilities. It allows users to derive more value from their data by providing flexibility in data storage and analysis With Cloudera Analytic DB, users can perform real-time analytics on Hadoop, enabling them to gain insights and make data-driven decisions more efficiently. **What do you dislike about Cloudera?** While Cloudera Analytic DB offers many benefits, there may be potential challenges or limitations that some users have encountered. These could include: Complexity Scalability Cost **What problems is Cloudera solving and how is that benefiting you?** Real-time Analytics on Hadoop, Data Analysis and Data Engineering ### 10. Cloudera data warehouse **Rating:** 4.0/5.0 stars **Reviewed by:** Sumit A. | Data Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** September 14, 2023 **What do you like best about Cloudera?** It good scalability, data management with good performance mostly i like it's support as well as documentation and **What do you dislike about Cloudera?** No, I like cloudera operational DB. I spend good time DB also enchance my skill **What problems is Cloudera solving and how is that benefiting you?** Data integration, scalability, support , data security and governance one more it's a cost effectively ### 11. Big data technology leader **Rating:** 4.0/5.0 stars **Reviewed by:** Azam A. | DevOps Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** December 26, 2023 **What do you like best about Cloudera?** The way it bundled useful big data technologies in one product and easy to install and use. **What do you dislike about Cloudera?** CDP is too costly compared to open source software present. **What problems is Cloudera solving and how is that benefiting you?** Solving problems related to big data. ### 12. Analytics insights got easier **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Small-Business (50 or fewer emp.) **Reviewed Date:** August 29, 2023 **What do you like best about Cloudera?** I am software developer and i need a DB to store data , the data in cloudera analytics follows HDFS architecture and due to this we can store a large amount of data easily in the database. Data recovery is quite easy as it proides good data replication. The user interface is quite good and easy to access modules . Analytics shown in cloudera is also good and graphs and pie diagrams can easily be understandable , they provide good insights. **What do you dislike about Cloudera?** At time I dont find any reason to dislike but In beginning its little bit challenging for new users to get hands on with cloudera . A tutorial or demo must be provided for better understanding **What problems is Cloudera solving and how is that benefiting you?** To fetch good insights and required data ### 13. Hadoop for processing Bigdata **Rating:** 4.0/5.0 stars **Reviewed by:** Khan M. | Enterprise (> 1000 emp.) **Reviewed Date:** December 12, 2023 **What do you like best about Cloudera?** Tool like Impala makes difference while processing data which is much faster. **What do you dislike about Cloudera?** Need better skilled and supportive support personal. **What problems is Cloudera solving and how is that benefiting you?** It's acting as one point solution for etl and processing the data ### 14. This is my short review for Cloudera platform. **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** December 26, 2023 **What do you like best about Cloudera?** Cloudera stands out as a robust platform, especially for aspiring data engineers like me. The user-friendly interface coupled with robust security features makes it a valuable asset for me. **What do you dislike about Cloudera?** While Cloudera offers powerful tools, navigating through its interface can be a bit overwhelming initially. **What problems is Cloudera solving and how is that benefiting you?** Currently i am running a business just learning new things and best approaches. ### 15. Cloudera for business approval process **Rating:** 4.0/5.0 stars **Reviewed by:** Arshad Mehtaj S. | Technical Architect, Enterprise (> 1000 emp.) **Reviewed Date:** December 12, 2023 **What do you like best about Cloudera?** Simplified data management and user interaction platform **What do you dislike about Cloudera?** The data retrieval speed should be improved **What problems is Cloudera solving and how is that benefiting you?** Reducing cost for server maintenance ### 16. Great tool to use **Rating:** 4.0/5.0 stars **Reviewed by:** Nikhil T. | Senior Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** September 13, 2023 **What do you like best about Cloudera?** Fully managed cloud cluster, auto scaling, security, reliance, easy to use. These all functions are best things. **What do you dislike about Cloudera?** Can be expensive, Not as flexible as some other solutions, Not as well-known as some other solutions **What problems is Cloudera solving and how is that benefiting you?** Cloudera Data Platform is used to submit batch jobs to auto-scaling virtual clusters. CDE enables you to spend more time on your applications, and less time on infrastructure ### 17. COD review **Rating:** 3.5/5.0 stars **Reviewed by:** Sharath G. | Data Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** September 09, 2023 **What do you like best about Cloudera?** COD supports both sql and Nosql with colunnar support. Easily scalable and easy to manage and best platform to handle large amount of data. **What do you dislike about Cloudera?** Nothing to dislike as of now need to explore more. **What problems is Cloudera solving and how is that benefiting you?** We have our supply chain data warehouse in COD cloudera platforn it easy to store and get analytical insights ### 18. The most comprehensive big data stack **Rating:** 4.0/5.0 stars **Reviewed by:** Võ Q. | Small-Business (50 or fewer emp.) **Reviewed Date:** June 15, 2023 **What do you like best about Cloudera?** Fullly implement hadoop ecosystem and control version compability as well. It also has quickly supported on technical and setting up issues. The community is really large and good. **What do you dislike about Cloudera?** The documentation layout is quite unclear. The community version setting up guides are not working. I think cloudera should provide the simple version in docker or helm chart for trial easier. **What problems is Cloudera solving and how is that benefiting you?** Cloudera platform provides the powerful processing tools that help our company save very much time to setup hadoop ecosystem. It also allows us to monitor and control the big data infrastucture easier and more efficient. ### 19. The best ever solutions for the big data industry **Rating:** 4.0/5.0 stars **Reviewed by:** anand p. | Sr. Engineering Manager, Information Technology and Services, Small-Business (50 or fewer emp.) **Reviewed Date:** September 06, 2023 **What do you like best about Cloudera?** The workflows jobs automation and the analytics provided by cloudera with historical and stream data processing **What do you dislike about Cloudera?** Needs more robust UI. Needs a user interactive and intutive way of showing the data and data transformation **What problems is Cloudera solving and how is that benefiting you?** The data models which cloudera bring in is much needed for the AI industry ### 20. Cloudera Application - Good to use **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Consulting | Mid-Market (51-1000 emp.) **Reviewed Date:** November 23, 2023 **What do you like best about Cloudera?** It is an easy to use application with user friendly features and is helpful with Big Data solutions. **What do you dislike about Cloudera?** It should have been more cost effective as compared to other available options present in the market. **What problems is Cloudera solving and how is that benefiting you?** Data Optimization, warehousing, proving big data solutions and analytics. ### 21. WSO2 API Manager integration with Cloudera **Rating:** 3.5/5.0 stars **Reviewed by:** Flaviano O. | Consultor Especialista em TI, Mid-Market (51-1000 emp.) **Reviewed Date:** March 08, 2023 **What do you like best about Cloudera?** Advantages of Cloudera: Ease of use, Security, Number of components, Scalability and Active community of users. The main advantages of using Cloudera are scalability and centralized administration, which greatly facilitates the work of monitoring and necessary corrections. **What do you dislike about Cloudera?** The difficulty of having a free option after the acquisition of Hadoop this process became more complex and bureaucratic. As the main thing, I still consider the cost, although I believe it is fair, but it ends up being unfeasible for smaller projects. **What problems is Cloudera solving and how is that benefiting you?** The data processing of a large government organization, with millions of records per day. The data is sent via WSO2 to Kafka, and then with NIFI, the processing is done to save the raw and summarized data in HIVE and force an index in solr to be consumed later by the WSO2 API Manager. ### 22. Great software to process huge data **Rating:** 4.0/5.0 stars **Reviewed by:** Avadhesh S. | Site Reliability Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** September 09, 2023 **What do you like best about Cloudera?** Easy to use and provide auto scaling features based on your workload and help process transaction in real time. **What do you dislike about Cloudera?** Costly as compared to other software available in the market **What problems is Cloudera solving and how is that benefiting you?** Process and store structure and unstructured data. Audit and monitor the data process. ### 23. 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 ### 24. 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. ### 25. 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 ### 26. 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 ### 27. 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 ### 28. 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 ### 29. 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 ### 30. 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 ### 31. 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 ### 32. 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 ### 33. 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. ### 34. 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 ### 35. 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. ### 36. 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 ### 37. 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. ### 38. 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 ### 39. 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. ### 40. Satisfactory experience **Rating:** 4.0/5.0 stars **Reviewed by:** Miguel N. | Enterprise (> 1000 emp.) **Reviewed Date:** July 17, 2018 **What do you like best about Cloudera?** Allows integrating a large number of services in an easy way **What do you dislike about Cloudera?** The support is not good enough for a system like this. **Recommendations to others considering Cloudera:** First, test with a basic Hadoop environment by manually adding the different services and conducting console-level tests. Once this is done, start with Cloudera by gradually adding new services and exploring its entire environment calmly to make the most of it. **What problems is Cloudera solving and how is that benefiting you?** Large-scale data processing ### 41. One of the all round big data solutions out there **Rating:** 3.5/5.0 stars **Reviewed by:** Dineshkumar P. | Senior Associate, Information Technology and Services, Enterprise (> 1000 emp.) **Reviewed Date:** September 30, 2018 **What do you like best about Cloudera?** Versatile On-premises, public cloud, or hybrid More real time data analysis capability **What do you dislike about Cloudera?** Higher learning curve On the costlier side comepred to other companies **What problems is Cloudera solving and how is that benefiting you?** Data driven application development ### 42. Great manager for the Hadoop ecosystem **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Internet | Enterprise (> 1000 emp.) **Reviewed Date:** August 24, 2018 **What do you like best about Cloudera?** Great manager for the Hadoop ecosystem; Awesome performance **What do you dislike about Cloudera?** Lack of dockerization support and no plans to support **What problems is Cloudera solving and how is that benefiting you?** Big Data Processing and Distribution ### 43. Great Hadoop OS that has good support and stability **Rating:** 4.0/5.0 stars **Reviewed by:** Sean K. | Director, Audience Solutions Group, Enterprise (> 1000 emp.) **Reviewed Date:** January 01, 2017 **What do you like best about Cloudera?** Cloudera is very versatile for multiple use cases to handle data. Works will as data storage and can be used as a work horse to crunch large amount of data for Analytics purposes. Very happy with Cloudera and expanding our 17 node environment to 140 nodes. **What do you dislike about Cloudera?** Need to be experience to really know how to use the advanced features. Any tech savy engineer can learn this relatively quickly. **Recommendations to others considering Cloudera:** Great product that meets our needs and also ended up being our Enterprise version used. **What problems is Cloudera solving and how is that benefiting you?** Ability to store large amount of data that can be used to retain and also ability to process and derived data. While it is not a deep tool for one particular feature. It is very good for many different things. ### 44. An amazing Hadoop distribution with fantastic UI **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.) **Reviewed Date:** March 02, 2017 **What do you like best about Cloudera?** I have been working on Cloudera Hadoop Distributions (CDH) since last two years. In this capacity, I have encountered many amazing features of CDH including but not limited to User Interface (UI) and Kerborse set up. Kerborse configuration through CDH UI is as easy as it can be. Not to mention that it does an amazing job of big data management and analytics. **What do you dislike about Cloudera?** CDH is comparatively slower than other distributions. In addition to that, it's setup and configuration can be often hard and confusing. **Recommendations to others considering Cloudera:** If you heard about this product, I would suggest you to give it a shot. It might be best thing that has ever happened to you. It has great User friendly interface and search features if you are looking into configurations. **What problems is Cloudera solving and how is that benefiting you?** We have been using CDH for HIVE, HDFS and HBASE majorly. With help of this distribution we were able to streamline our products including Informatica Enterprise Information Catalog (EIC) or Live Data Map and Intelligent Data Lake. ### 45. Effective in managing all hadoop services **Rating:** 4.0/5.0 stars **Reviewed by:** Guanqun S. | Data Engineer, Computer Software, Mid-Market (51-1000 emp.) **Reviewed Date:** January 17, 2017 **What do you like best about Cloudera?** It is effective in managing all hadoop services, configuring parameters, and monitoring the hadoop status in one place. **What do you dislike about Cloudera?** It is really hard to keep software up to date or allow users to install softwares by themselves. **What problems is Cloudera solving and how is that benefiting you?** Manage data pipeline for daily reporting and analytics tasks. It helps us to organize our nightly data workflow and visualized the progress and resource used. ### 46. CDH and CM **Rating:** 3.5/5.0 stars **Reviewed by:** Anson A. | Data Czar, Mid-Market (51-1000 emp.) **Reviewed Date:** December 21, 2016 **What do you like best about Cloudera?** Installs hadoop across multiple servers easily. can manage hadoop clusters with cloudera manager easily. Cloudera management service is nice to view metrics per servers. provide some useful tools (like impala). **What do you dislike about Cloudera?** certain functionalities (like rolling restart) requires enterprise edition sometimes the symlinks created are multiple symlinks which make no sense they take awhile longer to repackage newer versions of tools (like spark, parquet, etc...) **What problems is Cloudera solving and how is that benefiting you?** managing hadoop clusters using CDH's version is easy. ### 47. Easy to understand Tutorials **Rating:** 4.0/5.0 stars **Reviewed by:** Lakshay N. | Google Student Ambassador, Internet, Enterprise (> 1000 emp.) **Reviewed Date:** May 26, 2016 **What do you like best about Cloudera?** The tutorials that they provide on their website are the best. So, simplified and easy to understand. Plus they also provide us with the working model of their implementation which we can implement ourself side by side giving us a feel of what is happening and how it is happening. They have also attached screenshots of each and every screen which helps us a lot. The comment section that they have included also helps us solve the error because sometimes same error had been faced by some other person and experts helps us solve that error. **What do you dislike about Cloudera?** I just dislike the virtual image they provide us. My laptop configurations is decent enough to support cloudera's Vm and run processes on it but the VM that they have provided are too slow to process. Plus, in some tutorials, especially the projects that they have mentioned, I tried to implement that and I was getting errors which I was unable to resolve. **Recommendations to others considering Cloudera:** First learn all the concepts of BIG DATA and then move onto this platform to implement the things. Projects mentioned are really awesome and try to do that on your own. **What problems is Cloudera solving and how is that benefiting you?** I am just into it with the aim to learn about BIG DATA and implement the things that I have learnt throughout the year. I had been implementing all the stuff by myself like hadoop, hive, pig etc but the speciality about these VM's is that they have everything preloaded and all you need to do is just import the VM and start playing. ### 48. Hadoop developer in hortonworks distribution **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Financial Services | Enterprise (> 1000 emp.) **Reviewed Date:** March 14, 2017 **What do you like best about Cloudera?** The tez engine ,hortonworks sandbox which can be installed for learning and development purposes **What do you dislike about Cloudera?** Real time analytics like impala is unavailable **Recommendations to others considering Cloudera:** Enterprise hadoop platform **What problems is Cloudera solving and how is that benefiting you?** Analytics on large datasets,cheap and scalable storage along with a distributed framework ### 49. Great Platform for HBase **Rating:** 4.0/5.0 stars **Reviewed by:** Bharadwaj (Brad) C. | Director Of Engineering/Head of Reliability Engineering, Mid-Market (51-1000 emp.) **Reviewed Date:** May 12, 2016 **What do you like best about Cloudera?** 1. Cloudera is one of the distribution platform for HBase/Hadoop. 2. You get the knowledge base of the top Hbase committers 3. Licensing fee is cheap (when compared to Hortonworks) 4. Easier installation 5. Good support teams to respond to your problems **What do you dislike about Cloudera?** 1. Focussed mainly on HBase and not on the entire Hadoop ecosystem 2. Not a great support team on Hadoop in general **Recommendations to others considering Cloudera:** If you want only HBase, then cloudera is the way to go. But if you are looking at a holistic view of Hadoop and utilizing other projects under Hadoop, then I would recommend Hortonworks because of their larger knowledge base (found it the hard way and now migrating from Cloudera to Hortonworks) **What problems is Cloudera solving and how is that benefiting you?** Building Catalog and Analytics cluster for major retailers where we can provide customizable customer experience to all customers. ### 50. I love Cloudera **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Newspapers | Enterprise (> 1000 emp.) **Reviewed Date:** March 22, 2016 **What do you like best about Cloudera?** Cloudera is the LEADING managed Hadoop platform. Previous organizations I've worked at have used Hortonworks or Pivotal, but Cloudera emerged as the leading stack. Their platform offers everything – Hadoop, HDFS, YARN, MapReduce, Pig, Hive, Hbase, Oozie, Impala, Spark, Sqoop, and so much more. Their release cycle is pretty quick, and their developers and specialists are experts and contributors to the Apache open source projects. I love Cloudera. Take a look at their blog! **What do you dislike about Cloudera?** The release cycle for CDH is a bit slow, but it's a trade off for stability and security. For example, Spark runs out of the box as an app on YARN. But Spark's rapid release cycle fell into Cloudera's longer cycle, and we wound up with Spark 1.3 for months as 1.4 and 1.5 were released. The training is a bit repetitive & shallow at times, and could go more in depth, especially with so many talented developers on staff. **What problems is Cloudera solving and how is that benefiting you?** We have a couple of data lakes that we migrated and built out on Cloudera. Primarily business intelligence and analytics. ## 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?filters%5Bnps_score%5D%5B%5D=4§ion=pricing&secure%5Bexpires_at%5D=2026-08-13+11%3A31%3A32+-0500&secure%5Bsession_id%5D=cedd1983-ef2d-4ebe-91f1-f5aadc20d3eb&secure%5Btoken%5D=53f938b044c7e6284b68cc62d82eb84bff6381e69874fcacb5538025fd1af6b6&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) - [Apache NiFi](https://www.g2.com/products/apache-nifi/reviews) - [Azure](https://www.g2.com/products/hopem-azure/reviews) - [Azure Analysis Services](https://www.g2.com/products/azure-analysis-services/reviews) - [Azure Database for PostgreSQL](https://www.g2.com/products/azure-database-for-postgresql/reviews) - [Azure Data Factory](https://www.g2.com/products/azure-data-factory/reviews) - [Azure Data Lake Analytics](https://www.g2.com/products/azure-data-lake-analytics/reviews) - [Azure SQL Database](https://www.g2.com/products/azure-sql-database/reviews) - [Azure Synapse Analytics](https://www.g2.com/products/azure-synapse-analytics/reviews) - [COGNOS](https://www.g2.com/products/cognos/reviews) - [Databricks](https://www.g2.com/products/databricks/reviews) - [dbt](https://www.g2.com/products/dbt/reviews) - [Google BigQuery Python Connector](https://www.g2.com/products/google-bigquery-python-connector/reviews) - [Google Cloud SQL](https://www.g2.com/products/google-cloud-sql/reviews) - [Hive](https://www.g2.com/products/hive/reviews) - [IBM DataStage](https://www.g2.com/products/ibm-datastage/reviews) - [IBM Db2](https://www.g2.com/products/ibm-db2/reviews) - [Impala](https://www.g2.com/products/impala/reviews) - [Informatica Data Integration and Engineering](https://www.g2.com/products/informatica-data-integration-and-engineering/reviews) - [Looker](https://www.g2.com/products/looker/reviews) - [MariaDB](https://www.g2.com/products/mariadb/reviews) - [Microsoft Fabric](https://www.g2.com/products/microsoft-fabric/reviews) - [Microsoft SQL Server](https://www.g2.com/products/microsoft-sql-server/reviews) - [MySQL](https://www.g2.com/products/mysql/reviews) - [Oracle Autonomous Data Warehouse](https://www.g2.com/products/oracle-autonomous-data-warehouse/reviews) - [Oracle Business Intelligence Mobile](https://www.g2.com/products/oracle-business-intelligence-mobile/reviews) - [Oracle Database](https://www.g2.com/products/oracle-database/reviews) - [Oracle Data Integrator](https://www.g2.com/products/oracle-data-integrator/reviews) - [Oracle Exadata Cloud Service](https://www.g2.com/products/oracle-exadata-cloud-service/reviews) - [Oracle Warehouse Builder](https://www.g2.com/products/oracle-warehouse-builder/reviews) - [PowerBI for PureCloud](https://www.g2.com/products/powerbi-for-purecloud/reviews) - [Qlik Sense](https://www.g2.com/products/qlik-sense/reviews) - [QlikView Training](https://www.g2.com/products/qlikview-training/reviews) - [SAP BusinessObjects Business Intelligence (BI)](https://www.g2.com/products/sap-businessobjects-business-intelligence-bi/reviews) - [Sigma](https://www.g2.com/products/sigma-computing-sigma/reviews) - [Snowflake](https://www.g2.com/products/snowflake/reviews) - [Spark](https://www.g2.com/products/apache-spark/reviews) - [Tableau](https://www.g2.com/products/tableau/reviews) - [Teradata Autonomous Knowledge Platform](https://www.g2.com/products/teradata-autonomous-knowledge-platform/reviews) - [Trinos](https://www.g2.com/products/trinos/reviews) ## Cloudera Features **Reports** - Reports Interface - Steps to Answer - Graphs and Charts - Score Cards - Dashboards - Customizable Reports - Marketing Reports - Sales Reports - Activity Dashboard - Interactive Reports - Customizable Reports - Customizable Reports - Activity Dashboard - Customizable Dashboard **Additional Functionality** - Tagging - Natural Language Processing - Data Extraction - Multi-Language - Predictive Analytics - Drag & Drop - Speech Recognition - Reporting/Analytics - Data Storage Management - Virtual Personal Assistant (VPA) - AI Copilot - Customer Segmentation - Collaboration Tools - Data Import/Export - Generative AI - For eCommerce - Role-Based Permissions - Customizable Branding - Search/Filter - Monitoring - Document Management - API - Data Visualization - Trend Analysis - Machine Learning - Access Controls/Permissions - Alerts/Escalation - Performance Metrics - Real-Time Data - Third-Party Integrations - Mobile App - Multiple Data Sources - For Sales Teams/Organizations - Sentiment Analysis - Activity Dashboard - Chatbot - Workflow Automation **Data Governance** - User Access Management - Dynamic Data Masking - Data Lineage - Workflow Management **Administration** - Data Modelling - Recommendations - Workflow Management - Dashboards and Visualizations - Configurable Workflow - Rules-Based Workflow **Management** - Reporting - Auditing **Deployment** - Language Flexibility - Framework Flexibility - Versioning - Ease of Deployment - Scalability **System** - Data Ingestion & Wrangling - Real-Time Data **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 - ETL - Extract Transfer Load - Data Capture and Transfer - Real-Time Analytics - Reporting/Analytics **Management** - Data dictionary - Data Replication - Query Language - Data Modeling - Performance Analysis - Data Synchronization - Real-Time Data - Data Storage Management **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 - Data Visualization **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 Support - Multi-Language **Database** - Real-Time Data Collection - Data Distribution - Data Lake **Data Transformation** - Real-Time Analytics - Data Querying - Reporting/Analytics - Predictive Analytics - Visual Analytics **Data Preparation** - Search - Data Quality and Cleansing - Data Transformation - Data Modeling **Compliance** - Sensitive Data Compliance - Training and Guidelines - Policy Enforcement - Compliance Monitoring - Real-Time Monitoring **Functionality** - Extraction - Transformation - Loading - Automation - Scalability - Non-Relational Transformations - Data Extraction **Management** - Cataloging - Monitoring - Governing - Model Registry **Model Development** - Feature Engineering **Data Modeling and Blending** - Data Querying - Data Filtering - Data Blending - Data Capture and Transfer **Analytics** - Data Analytics **Integration** - AI/ ML Integration - BI Tool Integration - Data lake Integration **Maintenance** - Data Migration - Backup and Recovery - Multi-User Environment - Automatic Backup - Database Conversion **Support ** - Text Search - Data Types - Languages - Operating Systems **Availability** - Auto Sharding - Auto Recovery - Data Replication **Security** - Access Control - Roles Management - Compliance Management - Deletion Management - Access Controls/Permissions - User Management - Process Management - Audit Management - Metadata Management **Operations** - Metrics - Infrastructure management - Collaboration **Analytics** - Analytics capabilities - Dasboard visualizations **Reporting** - Intelligent Insights - Actionable Insights - Dashboards **Additional Functionality** - Data Mapping - Monitoring - Charting - Integration Management - Reporting/Analytics - Ad hoc Analysis - Access Controls/Permissions - API - Match & Merge - Real-Time Monitoring - Metadata Management - Pipeline Management - Job Scheduling - Dashboard Creation - Data Storage Management - Multiple Data Sources - Data Import/Export - Generative AI - Data Quality Control - Data Connectors - Customizable Reports - Single Sign On - Version Control - Visual Analytics - Accounting Integration - Real-Time Data - eCommerce Management - AI Copilot - CRM - Data Visualization - SSL Security - Search/Filter - Real-Time Analytics - Data Capture and Transfer - Collaboration Tools - Performance Management - Data Synchronization - Drag & Drop - Data Replication - Activity Dashboard - Database Support - Workflow Management - Alerts/Notifications - Predictive Analytics - Data Migration - Third-Party Integrations - Reporting & Statistics - Data Analysis Tools **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 - Master Data Management - Data Storage Management - Data 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 - Mobile Access **Security** - Database Locking - Access Control - Encryption - Authentication **Maintainence** - Data Quality Management - Policy Management - Data Storage Management **Management** - Cataloging - Monitoring - Governing **Monitoring and Management** - Data Observability - Testing capabilities **Generative AI** - AI Text Generation - AI Text Summarization - Generative AI **Generative AI** - AI Text Generation - AI Text Summarization **Additional Functionality** - Workflow Management - Third-Party Integrations - Data Extraction - Relational Database Management - SSL Security - API - Data Connectors - Search/Filter - Reporting & Statistics - Customizable Templates - AI Copilot - Full Text Search - Data Virtualization - Data Import/Export - Generative AI - Drag & Drop - Customizable Fields - Authentication - Data Visualization - Secure Data Storage - Activity Dashboard - Data Mapping - Multiple Programming Languages Supported - Data Capture and Transfer - User Management - NOSQL Database Management - Access Controls/Permissions - Calendar Management - Real-Time Monitoring - Document Storage - Audit Management - Charting **Additional Functionality** - Metadata Management - Data Lineage - Data Discovery - Data Governance - Data Aggregation - Compliance Management - Search/Filter - AI Copilot - Data Migration - Configurable Workflow - Workflow Management - Archiving & Retention - Policy Metadata Management - Tagging - Third-Party Integrations - Big Data Analytics - Data Security - Metadata Extraction - Data Integration - Dashboard - Generative AI - Data Catalog - Data Profiling - Data Connectors - Data Visualization - Reporting/Analytics - Data Glossary - Data Quality Control - Data Management - Data Sampling - Data Modeling - Data Mapping - Data Dictionary Management - Secure Data Storage - Version Control - Document Database - Access Control **Deployment** - Managed Service - Application - Scalability **Platform** - Machine Scaling - Data Preparation - Spark Integration **Connectivity** - Hadoop Integration - Spark Integration - Multi-Source Analysis - Data Lake - Real-Time Data - Data Capture and Transfer - Trend Analysis - What-if Analysis - Statistical Analysis - Data Blending - Ad hoc Analysis - Third-Party Integrations **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 - Generative AI **Agentic AI - Analytics Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making - Third-Party Integrations **Additional Functionality** - Customizable Reports - Collaboration Tools - Data Extraction - Semantic Search - Data Storage Management - Ad hoc Reporting - Reporting/Analytics - Predictive Analytics - Activity Dashboard - Access Controls/Permissions - Visual Analytics - Data Mapping - Data Synchronization - Statistical Analysis - Categorization/Grouping - Trend Analysis - Data Profiling - Linked Data Management - Data Visualization - API - Multiple Data Sources - Sentiment Analysis - Search/Filter - Data Import/Export - Data Capture and Transfer - AI Copilot - Monitoring - Data Connectors - Ad hoc Analysis - Text Mining - Reporting & Statistics - Predictive Modeling - Real-Time Analytics - Configurable Workflow - Tagging - Endpoint Management - No-Code - Data Preparation - Auditing - Big Data Analytics - ML Algorithm Library - Data Management - Activity Tracking - Data Security - Workflow Management **Self Service ** - Calculated Fields - Data Column Filtering - Data Discovery - Search - Collaboration / Workflow - Automodeling - Natural Language Search - Visual Discovery - Data Blending - Data Blending **Processing** - Cloud Processing - Workload Processing **Operations** - Data Visualization - Data Workflow - Governed Discovery - Notebooks - Data Discovery **Support** - Multi-Model - Operating Systems **Security** - Data Governance - Data Security **Generative AI** - AI Text Generation - AI Text Summarization - Generative AI **Generative AI** - AI Text Generation - AI Text Summarization - AI Text-to-Image - Generative AI **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 - Third-Party Integrations - Active Directory Integration **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 - Multiple Data Sources - Query Builder **Additional Functionality** - AI Copilot - Reporting & Statistics - Data Migration - Archiving & Retention - Data Capture and Transfer - Audit Trail - Data Synchronization - Single Sign On - Customizable Reports - Data Profiling - Authentication - Role-Based Permissions - Tagging - Secure Data Storage - Data Security - HIPAA Compliant - SSL Security - Risk Assessment - Data Mapping - Search/Filter - Self Service Portal - Multiple Data Sources - Document Storage - API - Activity Tracking - Automatic Backup - Visual Analytics **Additional Functionality** - Data Warehousing - Drag & Drop - Activity Dashboard - Data Connectors - Ad hoc Reporting - Customizable Reports - Alerts/Escalation - Templates - Forecasting - Data Migration - Data Transformation - Access Controls/Permissions - API - Data Cleansing - Data Synchronization - AI Copilot - Dashboard Creation - Data Extraction - Data Security - SSL Security - Collaboration Tools - No-Code - High Volume Processing - Database Support - Search/Filter - Generative AI **Advanced Analytics** - Predictive Analytics - Data Visualization - Big Data Services - Real-Time Analytics - Reporting/Analytics - Real-Time Analytics - Reporting/Analytics - Visual Analytics **Generative AI** - AI Text Generation - AI Text Summarization - Generative AI **Agentic AI - Machine Learning Data Catalog** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Decision Making - Third-Party Integrations **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 - Third-Party Integrations **Performance & Scalability - Analytics Platforms** - Large data handling and Query Speed - Concurrent User Support - Database Support **Additional Functionality** - Metadata Extraction - Automatic Backup - Search/Filter - Collaboration Tools - Activity Tracking - Authentication - Data Security - Data Mapping - Archiving & Retention - Data Discovery - Data Catalog - Multiple Data Sources - Categorization/Grouping - AI Copilot - Reporting/Analytics - Tagging - Drag & Drop - Activity Dashboard - Role-Based Permissions - Single Sign On - Data Governance - Content Library - Data Synchronization - Data Import/Export - Access Controls/Permissions - Data Visualization - API **Additional Functionality** - Parallel Processing - Ad hoc Analysis - Multiple Data Sources - API - In-Database Processing - Monitoring - Real-Time Reporting - Data Synchronization - Real-Time Monitoring - Data Connectors - Performance Metrics - Ad hoc Reporting - Alerts/Notifications - Access Controls/Permissions - Drag & Drop - Data Visualization - Data Import/Export - Match & Merge - Data Transformation - Secure Data Storage - Data Extraction - AI Copilot - Customizable Reports - Activity Dashboard - Data Migration - In-Memory Processing - Data Mapping **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 - Ad hoc Query - Visual Analytics **Building Reports** - Data Transformation - Data Modeling - WYSIWYG Report Design - Integration APIs - Real-Time Data - Real-Time Data - Third-Party Integrations - Third-Party Integrations **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 - Mobile Access - Metadata Management **Additional Functionality** - Drag & Drop - Secure Data Storage - Data Import/Export - Customizable Branding - Dashboard Creation - Access Controls/Permissions - Real-Time Reporting - Metadata Management - Forecasting - Data Storage Management - Ad hoc Analysis - Ad hoc Reporting - Data Migration - AI Copilot - Self Service Data Preparation - Search/Filter - Data Mapping - Monitoring - Sentiment Analysis - User Management - Sales Trend Analysis - Charting - Reporting & Statistics - Performance Metrics - Alerts/Notifications - Data Extraction - Widgets - Storytelling - Trend Analysis - Collaboration Tools - Financing Management - Self-service Analytics - KPI Monitoring - Dashboard - API - Data Integration - Scorecards - Data Management - Task Management - Progress Tracking - Data Connectors - Data Visualization - Profitability Analysis - Project Tracking - Strategic Planning - Goal Setting/Tracking - Publishing/Sharing - Predictive Analytics - Real-Time Monitoring - Templates - Mobile Access - Customizable Templates - Workflow Management - Financial Reporting - Audit Management - OLAP - Single Sign On - Data Synchronization ## Top Cloudera Alternatives - [Databricks](https://www.g2.com/products/databricks/reviews) - 4.6/5.0 (1,335 reviews) - [Snowflake](https://www.g2.com/products/snowflake/reviews) - 4.6/5.0 (714 reviews) - [Teradata Autonomous Knowledge Platform](https://www.g2.com/products/teradata-autonomous-knowledge-platform/reviews) - 4.3/5.0 (356 reviews)