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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 14.1%, down from 27.1% compared to the previous year. The mindshare of HPE Data Fabric is 13.5%, down from 14.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Hadoop Mindshare Distribution
ProductMindshare (%)
Cloudera Distribution for Hadoop14.1%
HPE Data Fabric13.5%
Other72.4%
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

"The search function is the most valuable aspect of the solution."
"CDH has a wide variety of proprietary tools that we use, like Impala, and from that perspective, it's quite useful as opposed to something open-source, as we get a lot of value from Cloudera's proprietary tools."
"For enterprise organizations that can bear the cost, it's a good solution."
"The scalability of Cloudera Distribution for Hadoop is excellent."
"Implementing a Hadoop cluster has become relatively straight-forward using CDH."
"We had a data warehouse before all the data. We can process a lot more data structures."
"The most valuable feature is that I can use CDH for almost all use cases across all industries, including the financial sector, public sector, private retailers, and so on."
"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."
"I like the administration part."
"I highly recommend MapR."
"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."
"This product enabled us opening up endless possibilities in data analytics, IOE/IOT, and predictive analysis."
"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."
"My first choice is MapR, as it is more adaptable to different contexts, and it could be customized in some way to fit the different needs, and this is my first choice and my first advice to people who ask me about this particular platform."
"HPE Ezmeral Data Fabric can be accessed from any namespace globally as you would access it from a machine using an NFS."
"MapR is a great distribution, although I have limited experience with other distributors."
 

Cons

"The dashboard could be improved."
"It has compatibility issues if installed in specialized hardware such as EMC Isilon or if node manager and data nodes are not co-located."
"The security of this solution could be improved. There should also be a way to basically have a blockchain enabled storage with the HDFS."
"Cloudera CDH5.5.x does not support SparkR."
"The licensing was by node."
"The governance aspect of the solution should be improved."
"The pricing needs to improve."
"The user infrastructure and user interface needs to be improved, as well as the performance. The GUI needs to be better."
"The product is not user-friendly."
"The biggest drawback is that it has vendor locking."
"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 UI for administration still has a lot of manual work to set up the cluster and get it running."
"The interface part, what I'm calling the integration part, could be improved."
"It'd like to see file system auditing, data encryption, and certification of other vendors' tools."
"Installations and setups are still a bit cryptic and can be improved."
"HPE Ezmeral Data Fabric is not compatible with third-party tools."
 

Pricing and Cost Advice

"The price is very high. The solution is expensive."
"Cloudera Distribution for Hadoop is expensive, with support costs involved."
"I wouldn't recommend CDH to others because of its high cost."
"When comparing with Oracle Sybase and SQL, it's cheaper. It's not expensive."
"The price could be better for the product."
"The tool is not expensive."
"The pricing must be improved."
"Cloudera requires a license to use."
"There is a need for my company to pay for the licensing costs of the solution."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
19%
Marketing Services Firm
9%
Comms Service Provider
7%
Construction Company
7%
Financial Services Firm
17%
Construction Company
11%
Comms Service Provider
8%
Healthcare Company
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 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.
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: March 2026.
885,728 professionals have used our research since 2012.