--- 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 appreciate the **ease of use** of Cloudera, highlighting its intuitive interface for managing big data efficiently. (22 reviews) - Users appreciate the **easy scalability** of Cloudera, praising its capability to manage large data efficiently. (17 reviews) - Users highlight the **strong security features** of Cloudera, ensuring reliable management of sensitive data. (9 reviews) - Users value the **comprehensive suite of tools** in Cloudera for effective big data management and analytics. (8 reviews) - Users value the **scalability and ease of use** in Cloudera, enhancing data processing and reporting efficiency. (8 reviews) - Performance (8 reviews) - Automation (6 reviews) - Customer Support (6 reviews) - Easy Integrations (6 reviews) - Data Security (5 reviews) **What users dislike:** - Users express that Cloudera can be quite **expensive** , especially in terms of setup and ongoing maintenance costs. (16 reviews) - Users find Cloudera's **complexity** in SQL queries challenging, especially for those lacking experience and resources. (7 reviews) - Users find Cloudera challenging to learn, noting **difficult learning** curves and the need for better tutorials. (5 reviews) - Users find **poor documentation** a major hurdle, complicating navigation and setup of Cloudera's data processing features. (4 reviews) - Users experience **access issues** with Cloudera, particularly regarding unauthorized 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. One of the best available tools for Machine learning research **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** August 16, 2018 **What do you like best about Cloudera?** Easy to use. Supports multiple languages and frameworks like R, python, scala, Apache Spark etc. It's quite easy to download libraries and supporting packages. One of the most important feature that I like is the availability of data from any storage - cloud, data warehouse **What do you dislike about Cloudera?** I am not particularly fond of the User Interface, but that's the only bad point that I could find. **Recommendations to others considering Cloudera:** If you are looking for something that does a quick analysis and also supports frameworks for detailed machine learning research then Cloudera Data Science is for you. **What problems is Cloudera solving and how is that benefiting you?** It's a great tool to work with on projects requiring collaborations. Cloudera Data Science can be used for any machine learning problem and since these days Artificial Intelligence is being implemented everywhere, so Cloudera data science would prove to be a great tool to work on. ### 2. Couldera Data Science a desperately needed tool from Cloudera **Rating:** 3.0/5.0 stars **Reviewed by:** Verified User in Consumer Electronics | Enterprise (> 1000 emp.) **Reviewed Date:** August 20, 2018 **What do you like best about Cloudera?** Running collaborative notebooks on you Cloudera Hadoop cluster is a big boon to a data science team. Pairs well with a previous investment in Hadoop specifically from Cloudera. **What do you dislike about Cloudera?** I wish this would install to the cluster and run in a container on the cluster instead of requiring an external application server(s). Spark support was not as good as some of the other notebook solutions out there. **What problems is Cloudera solving and how is that benefiting you?** Understanding how our services are behaving or misbehaving. We use this primarily for the time series events and metrics that are aggregated from our service offerings to our Hadoop based Data Lake. ### 3. 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 ### 4. Cheaper storage layer & SQL ingestion with Hive and MPP engine for faster query response with Impala **Rating:** 4.5/5.0 stars **Reviewed by:** Sej K. | Big Data Architect, Information Technology and Services, Small-Business (50 or fewer emp.) **Reviewed Date:** October 07, 2018 **What do you like best about Cloudera?** Impala performs really well with BI Tools **What do you dislike about Cloudera?** More improvements into Impala for long running analytics workloads **What problems is Cloudera solving and how is that benefiting you?** Most of our BI teams use Impala for their day-to-day operations ### 5. 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 ### 6. Good experience **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** August 24, 2018 **What do you like best about Cloudera?** Cloudera offers a lot of interesting features. Its really user friendly and let us solve complex business issues of organizing data. Also its a very secure platform where you can integrated security features and IT governance to functions. **What do you dislike about Cloudera?** I think for small business Cloudera its little bit expensive, when you realize the value, you can see that the price covers the benefits . **What problems is Cloudera solving and how is that benefiting you?** Platform connected with Amazon and the conection its really easy. Analyzed information in order to get ### 7. Possibility of manage a huge amount of data **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Small-Business (50 or fewer emp.) **Reviewed Date:** August 14, 2018 **What do you like best about Cloudera?** The possibility of platform to manage more than 13 millions of message a day in 8 hours. Reliable without lose of information. **What do you dislike about Cloudera?** Maybe it is not cheap. Amazon cloud can offer better solution and cheaper. The price...The weak point **Recommendations to others considering Cloudera:** Good product5 **What problems is Cloudera solving and how is that benefiting you?** Big data management in cloud ### 8. 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 ### 9. Feature rich and IT friendly **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Market Research | Enterprise (> 1000 emp.) **Reviewed Date:** May 14, 2018 **What do you like best about Cloudera?** This software is very easy to deploy in the Enterprise **What do you dislike about Cloudera?** Mostly lower environment licensing model **What problems is Cloudera solving and how is that benefiting you?** Cloudera enables us to solve for a comprehensive Big Data environment that is easy to deploy, monitor and use. Instead of troubleshooting software my company extracts value by using a product that takes big data architectural complexity out of the picture ### 10. A data platform true to the spirit of open source **Rating:** 4.5/5.0 stars **Reviewed by:** Manyam M. | Co-Founder, Head of A.I, Internet, Small-Business (50 or fewer emp.) **Reviewed Date:** August 08, 2017 **What do you like best about Cloudera?** HDP is the closest open source platform you can get in hadoop eco system with more choice of tools than everything else. The convenience of Ambari UI and API for building, deploying and managing the cluster makes it relatively easy to get started. With Yarn and Spark you can mix different nodes for storage and compute and master nodes to manage loads. **What do you dislike about Cloudera?** Version upgrades are more challenging than anticipated. Each upgrade has it's own quirks and compatibility issues that need to be resolved manually. **What problems is Cloudera solving and how is that benefiting you?** Building and deploying large scale Hadoop/Hive/Yarn/Spark clusters with hundreds of nodes in distributed environments on AWS. ### 11. Review for cloudera mainly for CCA 175 **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Telecommunications | Enterprise (> 1000 emp.) **Reviewed Date:** December 11, 2017 **What do you like best about Cloudera?** I’m using cloudera platform for CCA 175 Hadoop and Spark Developer certification preparation. Best thing is it fits in 8 gb ram machine. It includes almost all the hadoop eco systems. **What do you dislike about Cloudera?** The licensing cost. It much higher compared to Hortonworks. That’s why my employer AT&T is slightly migrating to Hortonworks. **What problems is Cloudera solving and how is that benefiting you?** Big data: Data storage issues ### 12. Amazing data platform **Rating:** 4.5/5.0 stars **Reviewed by:** Urvesh P. | Data Science Engineer, Internet, Enterprise (> 1000 emp.) **Reviewed Date:** December 06, 2017 **What do you like best about Cloudera?** Handling scale spark integration and hugs management **What do you dislike about Cloudera?** Bottlenecks And congestion. Speed for getting large amount of data is slow sometimes **What problems is Cloudera solving and how is that benefiting you?** Data storage and log management ### 13. Not very reliable but easy to use **Rating:** 2.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** October 19, 2017 **What do you like best about Cloudera?** The interface. It is simple and clean, the user can learn to navigate very easily. Plugins of impala and HIVE allow any SQL user to easily adapt **What do you dislike about Cloudera?** It cannot tell while execution that due to others it will not be able to compute the given task immediately. **Recommendations to others considering Cloudera:** Assure that you take enough S3 memory even for your Development and testing environment. **What problems is Cloudera solving and how is that benefiting you?** Database creation that in linked to an iPad app for AstraZeneca ### 14. Good for Clustering **Rating:** 3.0/5.0 stars **Reviewed by:** Verified User in Retail | Enterprise (> 1000 emp.) **Reviewed Date:** November 29, 2017 **What do you like best about Cloudera?** Hortonworks, namely Hadoop Hive is very good for K-Means clustering and data mining via regex commands. **What do you dislike about Cloudera?** Not a huge fan of the web based query system. Much prefer an application similar to SQL Server or a Teradata. **What problems is Cloudera solving and how is that benefiting you?** Competitive Pricing Index ### 15. HortonWorks Solid Product **Rating:** 3.0/5.0 stars **Reviewed by:** Verified User in Retail | Enterprise (> 1000 emp.) **Reviewed Date:** December 21, 2017 **What do you like best about Cloudera?** Consistent with my experiences with Horton **What do you dislike about Cloudera?** Can be a little cumbersome to learn where the action buttons "live" **What problems is Cloudera solving and how is that benefiting you?** Benefits have been streamlined and easily digestible fact based decions ### 16. 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. ### 17. 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. ### 18. Best commercial hadoop distribution product **Rating:** 4.5/5.0 stars **Reviewed by:** Prabakaran R. | EDW Tools Engineer, Internet, Enterprise (> 1000 emp.) **Reviewed Date:** September 23, 2016 **What do you like best about Cloudera?** Documentation with clear examples. Easy for any beginner to start with hadoop. Their blogs are really good to find solutions for the common problems that we come across. Due to it's good performance, we eventually moved from cloudera to hortonworks platform. It supports Windows platform as well. **What do you dislike about Cloudera?** VM setup - It's not as good as what Cloudera provides. Monitoring isn't that great. Ambari Management interface on HDP is just a basic one and does not have many rich features. **Recommendations to others considering Cloudera:** Hortonworks provides a framework comprising of open source projects which is good for any open source lovers. Easy to start with it's great tutorials. **What problems is Cloudera solving and how is that benefiting you?** We use our hortonworks hadoop cluster to process web & email logs. It has enabled us to process huge volume of data much quicker. ### 19. 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. ### 20. 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. ### 21. 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. ### 22. The easiest-to-use big data platform out there **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.) **Reviewed Date:** January 19, 2017 **What do you like best about Cloudera?** Cloudera Manager. By far the best integrated system for administrating Hadoop clusters. **What do you dislike about Cloudera?** Having to deal with the installation of CSDs when adding parcels for new services (e.g. Kudu). It's very inconvenient and should be part of the parcel deployment process. **What problems is Cloudera solving and how is that benefiting you?** I work at a company that integrates with Cloudera Manager with other systems in dataflow pipelines. Using Cloudera is the easiest of the big data platforms that we use. ### 23. 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 ### 24. Big Data made easy with Cloudera **Rating:** 3.0/5.0 stars **Reviewed by:** Mario C. | Army Of One, Computer Software, Mid-Market (51-1000 emp.) **Reviewed Date:** April 13, 2016 **What do you like best about Cloudera?** Cloudera abstracts you from the need of really knowing the depths of a Hadoop cluster at the beginning of your analytics stage. It's simply very easy to deploy servers with HDFS already deployed and connected that will give you automatic support to run Hive or Pig queries. **What do you dislike about Cloudera?** Cloudera has very little things to not like it until it fails for some (usually) unknown reason. Crashes are not common but it's very annoying when it happens on a very long job. When we deal with distributed systems, however, failures are a very common thing so it lacks some better feedback of logs and error logs. **Recommendations to others considering Cloudera:** Cloudera and Hortonworks are the products to start with if you don't really know absolutely everything that is involved in a Hadoop cluster. Cloudera is more popular and have been around lot of time but Hortonworks is also a good option. Cloudera certifications are valuable in the industry (althought Hortonworks are cheaper). It depends on your focus, if your prefer some more known and used product to start in a Big Data cluster and pretend to be certified, try one of the virtual machines that Cloudera offers to start playing with. If you simply want to learn a bit of "Big Data" things for yourself, maybe I'll give a try to Hortonworks as all it's architecture is also open to read and learn. **What problems is Cloudera solving and how is that benefiting you?** If you want to deploy a relatively small cluster to execute batch processing that was taking days to hours, or some high speed queries that where taking hours to some minutes over a large set of data using a known SQL-like language like Hive is perfect. ### 25. 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. ### 26. Better than plain hadoop **Rating:** 5.0/5.0 stars **Reviewed by:** Udita P. | Software Development Engineer, Internet, Enterprise (> 1000 emp.) **Reviewed Date:** July 21, 2016 **What do you like best about Cloudera?** It does make administrating and writing code in hadoop a lot easier. **What do you dislike about Cloudera?** A lot of extra configurations to do. Its not a con but I was confused as a beginner. **What problems is Cloudera solving and how is that benefiting you?** I was using it for my thesis. It does help to administer hadoop lot better ### 27. 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. ### 28. Cloudera is a great hadoop environment **Rating:** 4.5/5.0 stars **Reviewed by:** Kushal R. | Software Engineer, Banking, Small-Business (50 or fewer emp.) **Reviewed Date:** August 12, 2015 **What do you like best about Cloudera?** Ease of use and setup. You are easily able to diagnose problems with the cluster through the GUI. Spark integration as well as Hbase is great for our needs. Kafka integration has helped us test a new feature in application thereby increasing performance. All the metrics related to the environment really gives us an idea about our clusters health, thereby reducing surprises. **What do you dislike about Cloudera?** Couple of small setup that are very integrated to our old system were hard to figure out. A little bit more documentation is needed. SparkSQL is not fully supported and there is no way for us to upgrade an individual component our-self. The change on location of libraries from the given virtualbox image to the production environment caused small issues. It might be better if the VM was able to replicate the production environment as close as possible. **What problems is Cloudera solving and how is that benefiting you?** Storing large amounts of data and processing it in reasonable time frame. Being able to use our old code base with small changes to library as opposed to rewriting our entire code. Option of having mapreduce or YARN is great as our code does not work with YARN. Installing cloudera 5.4 reduces our time to deployment from 4 days to 1 which is great. ### 29. Clouder Easy Install **Rating:** 4.0/5.0 stars **Reviewed by:** Anshorimuslim S. | Platform Developer, Information Technology and Services, Small-Business (50 or fewer emp.) **Reviewed Date:** March 14, 2016 **What do you like best about Cloudera?** Easy to install, simple to configure. Dashboard and API Dashboard ease of use. A lot of services **What do you dislike about Cloudera?** Sometimes manager host needs a lot of RAM. Cloudera client sometimes not responsive **Recommendations to others considering Cloudera:** yes, its better than other vendor IMHO **What problems is Cloudera solving and how is that benefiting you?** Hadoop management made easy ### 30. Cloudera is a great hadoop environment **Rating:** 4.0/5.0 stars **Reviewed by:** Anubhav A. | Big Data Engineer, Marketing and Advertising, Small-Business (50 or fewer emp.) **Reviewed Date:** July 09, 2015 **What do you like best about Cloudera?** Ease of use and setup. You are easily able to diagnose problems with the cluster through the GUI. Spark integration as well as Hbase is great for our needs. Kafka integration has helped us test a new feature in application thereby increasing performance. All the metrics related to the environment really gives us an idea about our clusters health, thereby reducing surprises. **What do you dislike about Cloudera?** Couple of small setup that are very integrated to our old system were hard to figure out. A little bit more documentation is needed. SparkSQL is not fully supported and there is no way for us to upgrade an individual component our-self. The change on location of libraries from the given virtualbox image to the production environment caused small issues. It might be better if the VM was able to replicate the production environment as close as possible. **Recommendations to others considering Cloudera:** Storm integration, Support for SparkSQL and its newer components. Allowing users to upgrade individual components to match with opensource release. It may not be compatible but will give us users a chance to fix/learn in the meantime. **What problems is Cloudera solving and how is that benefiting you?** Storing large amounts of data and processing it in reasonable time frame. Being able to use our old code base with small changes to library as opposed to rewriting our entire code. Option of having mapreduce or YARN is great as our code does not work with YARN. Installing cloudera 5.4 reduces our time to deployment from 4 days to 1 which is great. ### 31. Cloudera for Big data platforms **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Retail | Enterprise (> 1000 emp.) **Reviewed Date:** June 15, 2016 **What do you like best about Cloudera?** Increased performance and processing times **What do you dislike about Cloudera?** Dependency on Mappers.I am yet to explore to be able to thoroughly review. **What problems is Cloudera solving and how is that benefiting you?** Loading unstructured data leads to less processing time when a query is sunbmitted ### 32. HDP is Laser Focused on Hadoop Platform **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Internet | Mid-Market (51-1000 emp.) **Reviewed Date:** July 20, 2015 **What do you like best about Cloudera?** 100% Open Source Employs Commiters of Top Apache Projects(HDFS,YARN,HBase,Hive,Pig, etc) Fully Focused on Hadoop Platform Enterprise support cost is lower as compared to CDH(per node) Integration of HBase with Phoenix **What do you dislike about Cloudera?** Monitoring in Ambari can be Improved. Upgrades to HDP platform needs full shutdown of Hadoop Cluster. Look and Feel of Ambari UI is Outdated. **Recommendations to others considering Cloudera:** HDP is a FULL stack Hadoop Platform. It is getting better by time. However, Ambari(Cluster Management Tool) needs some major features to come close to competition. If i have to select a Hadoop Vendor. I would definitely evaluate HDP as one of potential option. **What problems is Cloudera solving and how is that benefiting you?** We are using Hadoop(HDP) to store and process our Data. Hadoop has enabled us to run our pipelines faster and perform data refresh more frequently. Our data processes have become more stable due to Fault-Tolerance of Hadoop. ### 33. Review for Cloudera functionality **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Telecommunications | Mid-Market (51-1000 emp.) **Reviewed Date:** October 09, 2015 **What do you like best about Cloudera?** Impala's performance - see consistenly high performance compared to HiveQL; Cloudera Manager is easy to understand; provides complete Big Data applications stack on Hadoop HDFS **What do you dislike about Cloudera?** Very expensive support, does not see and visualization layer for data exploration; Would like to see some exploration and visualization layer on sampled data to make it more for analytics tool **Recommendations to others considering Cloudera:** I would recommend but certainly look into Hortonworks as well at the time of evaluation **What problems is Cloudera solving and how is that benefiting you?** Doing Big Data Analytics, Hadoop is a massive storage for our big data ### 34. best hadoop commercial product. **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.) **Reviewed Date:** July 17, 2015 **What do you like best about Cloudera?** opensource. great community support and documentation. **What do you dislike about Cloudera?** improved commercial support and documentation. **What problems is Cloudera solving and how is that benefiting you?** large data analysis. ### 35. Great Enterprise Ready Hadoop Management Tool **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** May 14, 2014 **What do you like best about Cloudera?** The ability to monitor and manage numerous Hadoop clusters from one tool. An easy to learn and use REST API and Python client library. Easy to use graphical interface to manage the health of our clusters. Makes the install process on numerous nodes easy. **What do you dislike about Cloudera?** Lots of documentation that is easy to find if you know exactly the right version of what you are looking for. Lots of "knob" turning. **Recommendations to others considering Cloudera:** The support is fantastic. The engineers are extremely helpful and ready to do it to. **What problems is Cloudera solving and how is that benefiting you?** Massive amounts of data consumption. It is fairly easy to implement and understand how to manage a Hadoop cluster. Cloudera makes the management of a cluster much easier than installing and managing it with the pure Apache version. ### 36. Cloudera on the up **Rating:** 4.0/5.0 stars **Reviewed by:** Nikhil P. | Performance and Security Architect Lead, Consumer Goods, Enterprise (> 1000 emp.) **Reviewed Date:** March 31, 2014 **What do you like best about Cloudera?** - Deep bench of Cloudera experts in the market - Open Source community support - Good "freemium" model - High profile users like Groupon & Klout **What do you dislike about Cloudera?** - Support services and management console are expensive when scaled up **Recommendations to others considering Cloudera:** While HortonWorks might have aggressive VCs backing them up Cloudera has a better customer base and learnings from Groupon & Klout are widely shared across the support community. Evaluate both by looking through the hype of Big Data against actual business needs **What problems is Cloudera solving and how is that benefiting you?** - Proof of concept and self learning ## 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=3§ion=pricing&secure%5Bexpires_at%5D=2026-07-15+10%3A43%3A24+-0500&secure%5Bsession_id%5D=cb0cd88d-73b8-4a83-b22f-ce3ef1c7fd2a&secure%5Btoken%5D=b92d613f4bf8edd5d491b874364197efe5df07405ccce0eca0be3c1a4ec64011&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 Cloud Data Integration](https://www.g2.com/products/informatica-cloud-data-integration/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 **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 (1,317 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) - 4.3/5.0 (357 reviews)