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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
2nd
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 April 2026, in the Hadoop category, the mindshare of Cloudera Distribution for Hadoop is 13.8%, down from 26.6% compared to the previous year. The mindshare of HPE Data Fabric is 11.6%, down from 15.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Hadoop Mindshare Distribution
ProductMindshare (%)
Cloudera Distribution for Hadoop13.8%
HPE Data Fabric11.6%
Other74.6%
Hadoop
 

Featured Reviews

SA
Head of Advaced Analytics & Intelligence; AGM at Alinma Bank
Integration of multiple features supports data analytics and processing
Cloudera Distribution for Hadoop provides numerous features and capabilities combined into one platform.The solution offers power processing and supports different file systems and query engines. It provides parallel processing for handling many requests. The platform includes role-based access control in Cloudera Distribution for Hadoop. It secures the data itself and provides users with different roles and privileges.
Hamid M. Hamid - PeerSpot reviewer
Data architect at Banking Sector
A stable and scalable tool that serves as a great database
The initial setup of HPE Ezmeral Data Fabric is easy. I am not sure how long it took to deploy HPE Ezmeral Data Fabric, but I haven't heard about any disadvantages when it comes to the time taken for the deployment. I remember that one of our company's clients who had purchased the product never mentioned the product's setup phase being complex. One of the drawbacks with HPE Ezmeral Data Fabric stems from the fact that the product's upgrade was not straightforward, and it was a complex process since one of the teams in my company who deals with the tool found the upgrade part to be tough. The solution is deployed on an on-premises model. My company has two dedicated staff members to look after the deployment and maintenance phases of HPE Ezmeral Data Fabric.

Quotes from Members

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

Pros

"We used it to build an enterprise data hub."
"Very solid. Excellent user experience. good documentation."
"It has been helpful in allowing data storage in one centralized location with data lakes and all of the surrounding applications."
"This is the only solution that is possible to install on-premise."
"Implementing a Hadoop cluster has become relatively straight-forward using CDH."
"The most valuable feature is Impala, the querying engine, which is very fast."
"The tool's most interesting features are the distributed file system and unstructured data processing capability. Because we have a lot of unstructured data, like XML and social media logs, these features make it more valuable than the usual data warehousing solutions."
"The product as a whole is good."
"HPE Ezmeral Data Fabric can be accessed from any namespace globally as you would access it from a machine using an NFS."
"I highly recommend MapR."
"Outside of human error, MapR is probably the most stable of the major releases."
"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."
"MapR is a great distribution, although I have limited experience with other distributors."
"The fact that the heavy computation is required on Big Data can be distributed across many nodes in a cluster, makes this solution a winner."
"Initial setup is rather straightforward thanks to detailed documentation covering all the bases."
"Our customer purchased a paid support service and so far MapR has addressed our issues well."
 

Cons

"They should focus on upgrading their technical capabilities in the market."
"Cloudera Distribution for Hadoop has a limited feature list and a lot of costs involved."
"We experienced many issues when we started working with Hadoop 3.0 in the Cloudera 6.0 version, so there is a lot of things that need to improve."
"We experienced many issues when we started working with Hadoop 3.0 in the Cloudera 6.0 version, so there are a lot of things that need to improve."
"The price of this solution could be lowered."
"The user infrastructure and user interface needs to be improved, as well as the performance. The GUI needs to be better."
"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."
"Currently, we are using many other tools such as Spark and Blade Job to improve the performance."
"One weakness for MapR is the Kerberos support."
"I'd say we've had issues with pricing."
"The UI for administration still has a lot of manual work to set up the cluster and get it running."
"Having the ability to extend the services provided by the platform to an API architecture, a micro-services architecture, could be very helpful."
"HPE Ezmeral Data Fabric is not compatible with third-party tools."
"Installations and setups are still a bit cryptic and can be improved."
"The product is not user-friendly."
"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

"I believe we pay for a three-year license."
"The tool is not expensive."
"I haven't bought a license for this solution. I'm only using the Apache license version."
"The price could be better for the product."
"Cloudera requires a license to use."
"The solution is fairly expensive."
"I wouldn't recommend CDH to others because of its high cost."
"It is an expensive product."
"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
Financial Services Firm
23%
Marketing Services Firm
9%
Construction Company
7%
Computer Software Company
6%
Financial Services Firm
18%
Construction Company
11%
Healthcare Company
10%
Comms Service Provider
8%
 

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 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.
What is your primary use case for Cloudera Distribution for Hadoop?
We use Cloudera Distribution for Hadoop for many use cases including analytics, storing huge data sets, and various data processing tasks.
Ask a question
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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: April 2026.
889,855 professionals have used our research since 2012.