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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

"Customer service and support were able to fix whatever the issue was."
"It gives us the opportunity to offer more options to our clients and create better solution models."
"Provides a viable open-source solution for enterprise implementations and reliable, intelligent data analysis."
"Implement the free version as it provides enough services."
"The search function is the most valuable aspect of the solution."
"Cloudera Manager is the most valuable feature for its ease of use, features, ease of upgrade and install components."
"For the clusters using CM, we are able to more tightly control and manage the configuration of all nodes in the clusters."
"The scalability of Cloudera Distribution for Hadoop is excellent."
"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."
"I like the administration part."
"HPE Ezmeral Data Fabric can be accessed from any namespace globally as you would access it from a machine using an NFS."
"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."
"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."
"It is a stable solution...It is a scalable solution."
"MapR is a great distribution, although I have limited experience with other distributors."
 

Cons

"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."
"It is quite complicated to configure and install."
"The initial setup of Cloudera is difficult."
"They should focus on upgrading their technical capabilities in the market."
"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."
"Cloudera Distribution for Hadoop has a limited feature list and a lot of costs involved."
"I would like to see an improvement in how the solution helps me to handle the whole cluster."
"Apache Kudu needs improvement. It's a real-time updatable database."
"Installations and setups are still a bit cryptic and can be improved."
"The biggest drawback is that it has vendor locking."
"The deployment could be faster. I want more support for the data lake in the next release."
"One weakness for MapR is the Kerberos support."
"It would be nice to have new developments in the Apache space (Spark, Storm, etc.)."
"HPE Ezmeral Data Fabric is not compatible with third-party tools."
"The interface part, what I'm calling the integration part, could be improved."
"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

"The solution is fairly expensive."
"The pricing must be improved."
"The product’s price depends from project to project."
"The tool is not expensive."
"I haven't bought a license for this solution. I'm only using the Apache license version."
"The price is very high. The solution is expensive."
"It is an expensive product."
"Cloudera Distribution for Hadoop is expensive, with support costs involved."
"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
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.