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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 March 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

"Cloudera is doing a great job in the field offering an enterprise ready data platform."
"We had a data warehouse before all the data. We can process a lot more data structures."
"CDH has a wide variety of proprietary tools that we use, like Impala. So from that perspective, it's quite useful as opposed to something open-source. We get a lot of value from Cloudera's proprietary tools."
"Improved Business Intelligence reporting from daily to every two hours satisfying the business stakeholders who would favour transactional systems to draft reports because it had the latest data."
"The features I find most valuable is that the solution is that it is easy to install and to work with."
"The main advantage is the storage is less expensive."
"The solution's most valuable feature is the enterprise data platform."
"The most valuable feature is Impala, the querying engine, which is very fast."
"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."
"I like the administration part."
"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."
"I highly recommend MapR."
"Our customer purchased a paid support service and so far MapR has addressed our issues well."
"This product enabled us opening up endless possibilities in data analytics, IOE/IOT, and predictive analysis."
"HPE Ezmeral Data Fabric can be accessed from any namespace globally as you would access it from a machine using an NFS."
 

Cons

"Spark with R integration is missing. Also, it is lacking Spark SQL support."
"The price of this solution could be lowered."
"There is a maximum of a one-gigabyte block size, which is an area of storage that can be improved upon."
"If they could support modifying the data more easily than the current implementation, it would be beneficial."
"Cloudera Distribution for Hadoop is not always completely stable in some cases, which can be a concern for big data solutions."
"The performance can be improved. We have experienced some performance issues."
"The one thing that we struggled with predominately was support. Because it was relatively new, support was always a big issue and I think it's still a bit of an ongoing concern with the team currently managing it."
"We're currently trying to perform a failed installation and it's little bit difficult. It should restart the installation where it left off."
"I'd say we've had issues with pricing."
"The product is not user-friendly."
"One weakness for MapR is the Kerberos support."
"The deployment could be faster. I want more support for the data lake in the next release."
"It would be nice to have new developments in the Apache space (Spark, Storm, etc.)."
"It'd like to see file system auditing, data encryption, and certification of other vendors' tools."
"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."
"Having the ability to extend the services provided by the platform to an API architecture, a micro-services architecture, could be very helpful."
 

Pricing and Cost Advice

"Cloudera Distribution for Hadoop is expensive, with support costs involved."
"The price could be better for the product."
"Cloudera requires a license to use."
"The tool is not expensive."
"I believe we pay for a three-year license."
"When comparing with Oracle Sybase and SQL, it's cheaper. It's not expensive."
"The solution is expensive."
"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."
"There is a need for my company to pay for the licensing costs of the solution."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
20%
Marketing Services Firm
10%
Comms Service Provider
7%
Manufacturing Company
6%
Financial Services Firm
18%
Healthcare Company
8%
Comms Service Provider
8%
Performing Arts
7%
 

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: March 2026.
884,933 professionals have used our research since 2012.