Amazon EMR vs HPE Data Fabric comparison

Amazon Web Services (AWS) and Hewlett Packard Enterprise are both solutions in the Hadoop category. Amazon Web Services (AWS) is ranked #3 with an average rating of 7.8, while Hewlett Packard Enterprise is ranked #4. Amazon Web Services (AWS) holds a 10.4% mindshare in H, compared to Hewlett Packard Enterprise’s 13.5% mindshare. Additionally, 83% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Hewlett Packard Enterprise users who would recommend it.

Amazon EMR

Read 25 Amazon EMR reviews

1,929 Views
656 Comparison Views

83% willing to recommend

HPE Data Fabric

Read 12 HPE Data Fabric reviews

1,305 Views
1,044 Comparison Views

100% willing to recommend

Amazon EMR

HPE Data Fabric

Comparison Buyer's Guide

Download the report

Executive Summary

We performed a comparison between Amazon EMR and HPE Data Fabric based on real PeerSpot user reviews.

Find out in this report how the two Hadoop solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Amazon EMR vs. HPE Data Fabric Report (Updated: March 2026).

Buyer's Guide

Amazon EMR vs. HPE Data Fabric

March 2026

Download the complete report

Helped 884,873 peers since 2012

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

Amazon EMR

Ranking in Hadoop

3rd

Average Rating

7.8

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (13th)

HPE 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 March 2026, in the Hadoop category, the mindshare of Amazon EMR is 10.4%, down from 13.6% 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
Product	Mindshare (%)
Amazon EMR	10.4%
HPE Data Fabric	13.5%
Other	76.1%

Hadoop

Featured Reviews

reviewer1343079

Senior Chief Engineer (Enterprise System Presales/Postsales) at a tech vendor with 10,001+ employees

Has simplified ETL workflows with on-demand processing but needs improved cost efficiency and visibility

I have used AWS Glue with S3 for making tables and databases, but regarding Amazon EMR, I do not remember much as we are currently using it very minimally. This is my observation: In EKS, we have had to deploy by ourselves because EKS does not provide the Hadoop framework, Spark, Hive, and everything, but we have completed all the deployment ourselves. Whereas Amazon EMR provides all these things. The cost factor differs significantly. When you run Spark application on EKS, you run at the pod level, so you can control the compute cost. But in Amazon EMR, when you have to run one application, you have to launch the entire EC2. In Qubole, the interface was very good. I could see many details because in Amazon EMR console, very few details are available. In Qubole, at one link, you can get all the details of what is happening, how the processes are running, and the cost decreased by using Qubole. I found Qubole more user-friendly and cost-effective. From the security point of view, we had to open some access rights to Qubole, which might be a drawback in comparison to Amazon EMR which is native to AWS.

Read full review

Hamid M. Hamid

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.

Read full review

Quotes from Members

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

Pros

"Amazon EMR's most valuable features are processing speed and data storage capacity."

"It allows users to access the data through a web interface."

"One of the valuable features about this solution is that it's managed services, so it's pretty stable, and scalable as much as you wish. It has all the necessary distributions. With some additional work, it's also possible to change to a Spark version with the latest version of EMR. It also has Hudi, so we are leveraging Apache Hudi on EMR for change data capture, so then it comes out-of-the-box in EMR."

"The initial setup is straightforward."

"The solution is pretty simple to set up."

"The solution is scalable."

"The project management is very streamlined."

"We are using applications, such as Splunk, Livy, Hadoop, and Spark. We are using all of these applications in Amazon EMR and they're helping us a lot."

More Amazon EMR pros

"Initial setup is rather straightforward thanks to detailed documentation covering all the bases."

"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."

"I like the administration part."

"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."

"MapR is a great distribution, although I have limited experience with other distributors."

"I highly recommend MapR."

"This product enabled us opening up endless possibilities in data analytics, IOE/IOT, and predictive analysis."

More HPE Data Fabric pros

Cons

"In Qubole, the interface was very good. I could see many details because in Amazon EMR console, very few details are available."

"The problem for us is it starts very slow."

"There is room for improvement in pricing."

"The product's features for storing data in static clusters could be better."

"We don't have much control. If we have multiple users, if they want to scale up, the cost will go and increase and we don't know how we can restrict that price part."

"It was complex to configure."

"There were times where they would release new versions and it seemed to end up breaking old versions, which is very strange."

"Modules and strategies should be better handled and notified early in advance."

More Amazon EMR cons

"It would be nice to have new developments in the Apache space (Spark, Storm, etc.)."

"I'd say we've had issues with pricing."

"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."

"Installations and setups are still a bit cryptic and can be improved."

"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."

"It'd like to see file system auditing, data encryption, and certification of other vendors' tools."

More HPE Data Fabric cons

Pricing and Cost Advice

"The cost of Amazon EMR is very high."

"There is a small fee for the EMR system, but major cost components are the underlying infrastructure resources which we actually use."

"The price of the solution is expensive."

"There is no need to pay extra for third-party software."

"You don't need to pay for licensing on a yearly or monthly basis, you only pay for what you use, in terms of underlying instances."

"Amazon EMR is not very expensive."

"Amazon EMR's price is reasonable."

"The product is not cheap, but it is not expensive."

More Amazon EMR pricing and cost advice

"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."

See which vendors are best for you

Use our free recommendation engine to learn which Hadoop solutions are best for your needs.

See recommendations

884,873 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

20%

Healthcare Company

10%

Manufacturing Company

Computer Software Company

Financial Services Firm

17%

Healthcare Company

Comms Service Provider

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	6
Midsize Enterprise	5
Large Enterprise	12

By reviewers
Company Size	Count
Small Business	4
Large Enterprise	7

Questions from the Community

What is your experience regarding pricing and costs for Amazon EMR?

I would rate the price for Amazon EMR, where one is high and ten is low, as a good one.

See all answers

What needs improvement with Amazon EMR?

I feel some lack of functionality in Amazon EMR. I have thoughts on what would be great to see in the product, such as AI/ML features or additional options.

See all answers

What advice do you have for others considering Amazon EMR?

I find it easy to integrate Amazon EMR with other AWS services like S3 or EC2 for data processing needs. I would rate this review as eight out of ten.

See all answers

Ask a question

Earn 20 points

Comparisons

Snowflake vs Amazon EMR

Compared 11% of the time

Cloudera Distribution for Hadoop vs Amazon EMR

Compared 7% of the time

Amazon Redshift vs Amazon EMR

Compared 6% of the time

Apache Spark vs Amazon EMR

Compared 6% of the time

Cloudera Data Platform vs Amazon EMR

Compared 5% of the time

More Amazon EMR Competitors

Cloudera Distribution for Hadoop vs HPE Data Fabric

Compared 20% of the time

Cloudera Data Platform vs HPE Data Fabric

Compared 15% of the time

Apache Spark vs HPE Data Fabric

Compared 11% of the time

IBM Spectrum Computing vs HPE Data Fabric

Compared 9% of the time

IBM Analytics Engine vs HPE Data Fabric

Compared 9% of the time

More HPE Data Fabric Competitors

Product Reports

Buyer's Guide

Amazon EMR

March 2026

Download Amazon EMR product report

Buyer's Guide

HPE Data Fabric

March 2026

Download HPE Data Fabric product report

Also Known As

Amazon Elastic MapReduce

MapR, MapR Data Platform

Overview

Amazon Elastic MapReduce (Amazon EMR) is a web service that makes it easy to quickly and cost-effectively process vast amounts of data. Amazon EMR simplifies big data processing, providing a managed Hadoop framework that makes it easy, fast, and cost-effective for you to distribute and process vast amounts of your data across dynamically scalable Amazon EC2 instances.

Amazon Web Services (AWS)

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

Yelp

Valence Health, Goodgame Studios, Pico, Terbium Labs, sovrn, Harte Hanks, Quantium, Razorsight, Novartis, Experian, Dentsu ix, Pontis Transitions, DataSong, Return Path, RAPP, HP

Buyer's Guide

Amazon EMR vs. HPE Data Fabric

March 2026

Free Report: Amazon EMR vs. HPE Data Fabric

Find out what your peers are saying about Amazon EMR vs. HPE Data Fabric and other solutions. Updated: March 2026.

DOWNLOAD NOW

884,873 professionals have used our research since 2012.

See our Amazon EMR vs. HPE Data Fabric report.

See our list of best Hadoop vendors.

We monitor all Hadoop reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.