Cloudera Distribution for Hadoop vs HPE Data Fabric comparison

Cloudera and Hewlett Packard Enterprise are both solutions in the Hadoop category. Cloudera is ranked #2 with an average rating of 8.4, while Hewlett Packard Enterprise is ranked #4. Cloudera holds a 15.1% mindshare in H, compared to Hewlett Packard Enterprise’s 14.9% mindshare. Additionally, 92% of Cloudera users are willing to recommend the solution, compared to 100% of Hewlett Packard Enterprise users who would recommend it.

Cloudera Distribution for H...

Read 51 Cloudera Distribution for Hadoop reviews

1,935 Views
1,161 Comparison Views

92% willing to recommend

HPE Data Fabric

Read 12 HPE Data Fabric reviews

1,152 Views
945 Comparison Views

100% willing to recommend

Cloudera Distribution for H...

HPE Data Fabric

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Executive Summary

We performed a comparison between Cloudera Distribution for Hadoop and HPE Data Fabric based on real PeerSpot user reviews.

Find out in this report how the two Hadoop solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Cloudera Distribution for Hadoop vs. HPE Data Fabric Report (Updated: December 2025).

Buyer's Guide

Cloudera Distribution for Hadoop vs. HPE Data Fabric

December 2025

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Helped 881,082 peers since 2012

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

2nd

Average Rating

8.0

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

NoSQL Databases (9th)

HPE Data Fabric

Ranking in Hadoop

4th

Average Rating

8.0

Reviews Sentiment

6.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of January 2026, in the Hadoop category, the mindshare of Cloudera Distribution for Hadoop is 15.1%, down from 27.9% compared to the previous year. The mindshare of HPE Data Fabric is 14.9%, up from 14.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Hadoop Market Share Distribution
Product	Market Share (%)
Cloudera Distribution for Hadoop	15.1%
HPE Data Fabric	14.9%
Other	70.0%

Hadoop

Featured Reviews

Rok Dolinsek

Manager, Bussines Development & Co Owner at Troia d.o.o.

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.

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Arnab Chatterjee

Regional Head of Data and Application Platform at a financial services firm with 10,001+ employees

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.

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Quotes from Members

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

Pros

"Cloudera provides a hybrid solution that combines compute on cloud or on-premises."

"The data science aspect of the solution is valuable."

"The features I find most valuable is that the solution is that it is easy to install and to work with. It starts with the installation and from there on the management is very simple and centralized."

"The solution is reliable and stable, it fits our requirements."

"This is the only solution that is possible to install on-premise."

"Cloudera is a very manageable solution with good support."

"I don't see any performance issues."

"The file system is a valuable feature."

More Cloudera Distribution for Hadoop pros

"I like the administration part."

"The model creation was very interesting, especially with the libraries provided by the platform."

"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."

"HPE Ezmeral Data Fabric can be accessed from any namespace globally as you would access it from a machine using an NFS."

"It is a stable solution...It is a scalable solution."

Cons

"The solution does not support multiple languages very well and this means users need to create work-arounds to implement some solutions."

"Cloudera's support is extremely bad and cannot be relied on."

"The tool doesn't support reporting, and relational databases are still the major source of reporting data. Apache Iceberg will be launched soon within the Cloudera cluster for analytical purposes. The Cloudera Machine Learning aspect could be tuned and enhanced to enable us to host some predictive analytics machine learning and AI use cases."

"The procedure for operations could be simplified."

"Cloudera Distribution for Hadoop is not always completely stable in some cases, which can be a concern for big data solutions."

"It could be faster and more user-friendly."

"Without the big data environment, we cannot store all of this data live. We have billions of records and terabytes of storage to be used. It's not an option actually for us to have a big data environment."

"If they could support modifying the data more easily than the current implementation, it would be beneficial."

More Cloudera Distribution for Hadoop cons

"HPE Ezmeral Data Fabric is not compatible with third-party tools."

"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."

"The deployment could be faster. I want more support for the data lake in the next release."

"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."

Pricing and Cost Advice

"It is an expensive product."

"I haven't bought a license for this solution. I'm only using the Apache license version."

"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."

"Cloudera requires a license to use."

"I wouldn't recommend CDH to others because of its high cost."

"The pricing must be improved."

"The price could be better for the product."

"I believe we pay for a three-year license."

More Cloudera Distribution for Hadoop pricing and cost advice

"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."

"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."

"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

Financial Services Firm

23%

Computer Software Company

Healthcare Company

Comms Service Provider

Financial Services Firm

18%

Comms Service Provider

Performing Arts

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	16
Midsize Enterprise	9
Large Enterprise	31

By reviewers
Company Size	Count
Small Business	4
Large Enterprise	7

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.

See all answers

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.

See all answers

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.

See all answers

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Comparisons

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Compared 9% of the time

Apache Spark vs Cloudera Distribution for Hadoop

Compared 7% of the time

Apache HBase vs Cloudera Distribution for Hadoop

Compared 5% of the time

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Cloudera Data Platform vs HPE Data Fabric

Compared 15% of the time

Apache Spark vs HPE Data Fabric

Compared 10% of the time

Amazon EMR vs HPE Data Fabric

Compared 9% of the time

IBM Spectrum Computing vs HPE Data Fabric

Compared 8% of the time

IBM Analytics Engine vs HPE Data Fabric

Compared 8% of the time

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Product Reports

Buyer's Guide

Cloudera Distribution for Hadoop

January 2026

Download Cloudera Distribution for Hadoop product report

Buyer's Guide

HPE Data Fabric

January 2026

Download HPE Data Fabric product report

Also Known As

No data available

MapR, MapR Data Platform

Overview

Cloudera Distribution for Hadoop is the world's most complete, tested, and popular distribution of Apache Hadoop and related projects. CDH is 100% Apache-licensed open source and is the only Hadoop solution to offer unified batch processing, interactive SQL, and interactive search, and role-based access controls. More enterprises have downloaded CDH than all other such distributions combined.

Cloudera

Forward-leaning companies win market share because they leverage data more effectively than their competitors. Unlock the potential of your data assets with HPE Ezmeral Data Fabric (formerly MapR Data Platform). Empower your data science, analytics, and business teams by simplifying data management on a globally distributed scale. All with enterprise-grade reliability, security, and performance.

Hewlett Packard Enterprise

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

Buyer's Guide

Cloudera Distribution for Hadoop vs. HPE Data Fabric

December 2025

Free Report: Cloudera Distribution for Hadoop vs. HPE Data Fabric

Find out what your peers are saying about Cloudera Distribution for Hadoop vs. HPE Data Fabric and other solutions. Updated: December 2025.

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