Cloudera Distribution for Hadoop vs HPE Ezmeral Data Fabric comparison

Cloudera Distribution for Hadoop vs. HPE Ezmeral Data Fabric

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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

6.4

Number of Reviews

Ranking in other categories

NoSQL Databases (8th)

HPE Ezmeral 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 April 2025, in the Hadoop category, the mindshare of Cloudera Distribution for Hadoop is 25.0%, up from 23.0% compared to the previous year. The mindshare of HPE Ezmeral Data Fabric is 15.0%, up from 10.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

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

"In terms of scalability, if you have enough hardware you can scale out. Scalability doesn't have any issues."

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

"The main advantage is the storage is less expensive."

"Provides a viable open-source solution for enterprise implementations and reliable, intelligent data analysis."

"We had a data warehouse before all the data. We can process a lot more data structures."

"The product as a whole is good."

"The search function is the most valuable aspect of the solution."

"Very good end-to-end security features."

More Cloudera Distribution for Hadoop pros

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

"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."

"I like the administration part."

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

Cons

"The pricing needs to improve."

"The procedure for operations could be simplified."

"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."

"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 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."

"I would like to see an improvement in how the solution helps me to handle the whole cluster."

"The Cloudera training has deteriorated significantly."

"While the deployed product is generally functional, there are instances where it presents difficulties."

More Cloudera Distribution for Hadoop cons

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

"The product is not user-friendly."

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

"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

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

"When comparing with Oracle Sybase and SQL, it's cheaper. It's not expensive."

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

"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."

"The solution is fairly expensive."

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

"Cloudera requires a license to use."

"The pricing must be improved."

More Cloudera Distribution for Hadoop pricing and cost advice

"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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845,406 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

24%

Computer Software Company

15%

Educational Organization

12%

Manufacturing Company

Financial Services Firm

19%

Computer Software Company

16%

Retailer

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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?

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. Integrating wit...

What do you like most about HPE Ezmeral Data Fabric?

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

What needs improvement with HPE Ezmeral Data Fabric?

There are some drawbacks in HPE Ezmeral Data Fabric when it comes to the interoperability part. HPE Ezmeral Data Fabric is not compatible with third-party tools. For example, HPE Ezmeral Data Fabri...

What is your primary use case for HPE Ezmeral Data Fabric?

The main purpose of HPE Ezmeral Data Fabric for me is that it acts as a database. In my company, we store our data with the help of HPE Ezmeral Data Fabric. It is possible to use Spark engine with ...

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ScyllaDB vs Cloudera Distribution for Hadoop

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Spark SQL vs HPE Ezmeral Data Fabric

Compared 8% of the time

Amazon EMR vs HPE Ezmeral Data Fabric

Compared 7% of the time

MongoDB vs HPE Ezmeral Data Fabric

Compared 7% of the time

IBM Analytics Engine vs HPE Ezmeral Data Fabric

Compared 7% of the time

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Product Reports

Cloudera Distribution for Hadoop

Download Cloudera Distribution for Hadoop product report

HPE Ezmeral Data Fabric

Download HPE Ezmeral 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

Cloudera Distribution for Hadoop vs. HPE Ezmeral Data Fabric