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Cloudera Distribution for Hadoop vs HPE Data Fabric comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Cloudera Distribution for H...
Ranking in Hadoop
1st
Average Rating
8.0
Reviews Sentiment
6.3
Number of Reviews
51
Ranking in other categories
NoSQL Databases (8th)
HPE Data Fabric
Ranking in Hadoop
4th
Average Rating
8.0
Reviews Sentiment
6.1
Number of Reviews
12
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of October 2025, in the Hadoop category, the mindshare of Cloudera Distribution for Hadoop is 21.9%, down from 26.4% compared to the previous year. The mindshare of HPE Data Fabric is 14.4%, up from 13.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Hadoop Market Share Distribution
ProductMarket Share (%)
Cloudera Distribution for Hadoop21.9%
HPE Ezmeral Data Fabric14.4%
Other63.7%
Hadoop
 

Featured Reviews

Rok Dolinsek - PeerSpot reviewer
Enables on-premise implementation with powerful data processing capabilities
This is the only solution that is possible to install on-premise. Cloudera provides a hybrid solution that combines compute on cloud or on-premises. It includes all machine learning algorithms in the Spark machine learning library. All functionalities needed for a big data platform and ETL are on the platform, eliminating the need for other tools. It is scalable, ready for vertical scaling, and very powerful, offering numerous functionalities and configurations for generative AI.
Arnab Chatterjee - PeerSpot reviewer
It's flexible and easily accessible across multiple locations, but the upgrade process is complicated
Upgrading Ezmeral to a new version is a pain. They're trying to make the solution more container-friendly, so I think they're going in the right direction. The only problem we've had in the past was the upgrades. The process isn't smooth due to how the Red Hat operating system upgrades currently work. They're transforming their host stack to increase cloud readiness and edge compute capability. HPE is transitioning from a standard data-driven approach to one powered by AI analytics. That's something they have released very recently. I haven't tried that, but it will probably make things easier. The ability to adapt Ezmeral to the public cloud is probably missing. I've heard that they're getting leaner. However, it doesn't have a clear managed services offering for you if you want to deploy this stack on the cloud. That's a problem. This probably won't meet your needs if you require consistency across on-prem and the cloud. It's not Ezmeral's fault. None of the products would fit the bill. Cloud offerings are biased towards their own implementation. It's a general issue on most big data platforms. They're already working towards that, but it hasn't been released.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The product as a whole is good."
"The scalability of Cloudera Distribution for Hadoop is excellent."
"With a cluster available, you can manage the security layer using the shared SDX - it provides flexibility."
"We also really like the Cloudera community. You can have any question and will have your answer within a few hours."
"The search function is the most valuable aspect of the solution."
"The product provides better data processing features than other tools."
"It has the best proxy, security, and support features compared to open-source products."
"Cloudera Distribution for Hadoop provides numerous features and capabilities combined into one platform, offers power processing, supports different file systems and query engines, and provides parallel processing for handling many requests."
"The model creation was very interesting, especially with the libraries provided by the platform."
"HPE Ezmeral Data Fabric can be accessed from any namespace globally as you would access it from a machine using an NFS."
"I like the administration part."
"It is a stable solution...It is a scalable solution."
"My customers find the product cheaper compared to other solutions. The previous solution that we used did not have unified analytics like the runtime or the analog."
 

Cons

"The governance aspect of the solution should be improved."
"It would be useful if Cloudera had more tools like SQL Engines that offer the traditional relational database. We have to do a lot of work preparing the data outside Cloudera before getting it into the platform."
"It is quite complicated to configure and install. Integrating the platform into an information system is always a challenge, especially when starting with on-premise implementation."
"Cloudera Distribution for Hadoop has a limited feature list and a lot of costs involved."
"The performance of some analytics engines provided by Cloudera is not that good."
"They should focus on upgrading their technical capabilities in the market."
"The solution does not support multiple languages very well and this means users need to create work-arounds to implement some solutions."
"The dashboard could be improved."
"The product is not user-friendly."
"Having the ability to extend the services provided by the platform to an API architecture, a micro-services architecture, could be very helpful."
"Upgrading Ezmeral to a new version is a pain. They're trying to make the solution more container-friendly, so I think they're going in the right direction. The only problem we've had in the past was the upgrades. The process isn't smooth due to how the Red Hat operating system upgrades currently work."
"The deployment could be faster. I want more support for the data lake in the next release."
"HPE Ezmeral Data Fabric is not compatible with third-party tools."
 

Pricing and Cost Advice

"I believe we pay for a three-year license."
"I wouldn't recommend CDH to others because of its high cost."
"The solution is fairly expensive."
"Cloudera requires a license to use."
"The pricing must be improved."
"The tool is expensive...For the SMB market or customers whose environments are not that complex and do not have multiple systems running, Cloudera might not be a good option."
"The solution is expensive."
"Cloudera Distribution for Hadoop is expensive, with support costs involved."
"The tool's price is cheap and based on a usage basis. The solution's licensing costs are yearly and there are no extra costs."
"HPE is flexible with you if you are an existing customer. They offer different models that might be beneficial for your organization. It all depends on how you negotiate."
"There is a need for my company to pay for the licensing costs of the solution."
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Top Industries

By visitors reading reviews
Educational Organization
19%
Financial Services Firm
18%
Computer Software Company
11%
Energy/Utilities Company
6%
Financial Services Firm
15%
Computer Software Company
13%
Comms Service Provider
12%
Government
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business16
Midsize Enterprise9
Large Enterprise31
By reviewers
Company SizeCount
Small Business4
Large Enterprise7
 

Questions from the Community

What do you like most about Cloudera Distribution for Hadoop?
The tool can be deployed using different container technologies, which makes it very scalable.
What is your experience regarding pricing and costs for Cloudera Distribution for Hadoop?
The price for Cloudera is average, yet it is very good compared to other solutions. It can be deployed on-premises, unlike competitors' cloud-only solutions.
What needs improvement with Cloudera Distribution for Hadoop?
If they could support modifying the data more easily than the current implementation, it would be beneficial.
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Also Known As

No data available
MapR, MapR Data Platform
 

Overview

 

Sample Customers

37signals, Adconion,adgooroo, Aggregate Knowledge, AMD, Apollo Group, Blackberry, Box, BT, CSC
Valence Health, Goodgame Studios, Pico, Terbium Labs, sovrn, Harte Hanks, Quantium, Razorsight, Novartis, Experian, Dentsu ix, Pontis Transitions, DataSong, Return Path, RAPP, HP
Find out what your peers are saying about Cloudera Distribution for Hadoop vs. HPE Data Fabric and other solutions. Updated: September 2025.
872,655 professionals have used our research since 2012.