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Amazon EMR vs HPE Ezmeral 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 8.0, while Hewlett Packard Enterprise is ranked #4 with an average rating of 8.5. Amazon Web Services (AWS) holds a 13.3% mindshare in H, compared to Hewlett Packard Enterprise’s 15.0% mindshare. Additionally, 85% 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 22 Amazon EMR reviews
  • 1,035 Views
  • 872 Comparison Views
85% willing to recommend
HPE Ezmeral Data Fabric
Read 12 HPE Ezmeral Data Fabric reviews
  • 1,225 Views
  • 640 Comparison Views
100% willing to recommend
 

Comparison Buyer's Guide

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Executive Summary
We performed a comparison between Amazon EMR and HPE Ezmeral 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.

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To learn more, read our detailed Amazon EMR vs. HPE Ezmeral Data Fabric Report (Updated: April 2025).
Buyer's Guide
Amazon EMR vs. HPE Ezmeral Data Fabric
April 2025
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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

Amazon EMR
Ranking in Hadoop
3rd
Average Rating
7.8
Reviews Sentiment
7.2
Number of Reviews
22
Ranking in other categories
Cloud Data Warehouse (12th)
HPE Ezmeral 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 2025, in the Hadoop category, the mindshare of Amazon EMR is 13.3%, down from 17.1% 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

Prashant Singh - PeerSpot reviewer
Seamless data integration enhances reporting efficiency and an easy setup
Amazon EMR has multiple connectors that can connect to various data sources. The service charges are based on processing only, depending on the resources used, which can help save money. It is easy to integrate with other services for storage, allowing data to be shifted to cheaper storage based on usage.
Read full review
Arnab Chatterjee - PeerSpot reviewer
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.
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

"This is the best tool for hosts and it's really flexible and scalable."
"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."
"It allows users to access the data through a web interface."
"When we grade big jobs from on-prem to the cloud, we do it in EMR with Spark."
"In Amazon EMR it is easy to rebuild anything, easy to upgrade and has good fault tolerance."
"The project management is very streamlined."
"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."
"Amazon EMR has multiple connectors that can connect to various data sources."
More Amazon EMR pros
"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."
"It is a stable solution...It is a scalable solution."
"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."
 

Cons

"Amazon EMR can improve by adding some features, such as megastore services and HiveServer2. Additionally, the user interface could be better, similar to what Apache service provides, cross-platform services."
"Amazon EMR is continuously improving, but maybe something like CI/CD out-of-the-box or integration with Prometheus Grafana."
"The dashboard management could be better. Right now, it's lacking a bit."
"The solution can become expensive if you are not careful."
"The legacy versions of the solution are not supported in the new versions."
"The problem for us is it starts very slow."
"The most complicated thing is configuring to the cluster and ensure it's running correctly."
"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."
More Amazon EMR 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."
"Having the ability to extend the services provided by the platform to an API architecture, a micro-services architecture, could be very helpful."
"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."
 

Pricing and Cost Advice

"The price of the solution is expensive."
"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."
"I rate the tool's pricing a five out of ten. It can be expensive since it's a managed service, and if you are not careful, you can run into unexpected charges. You can make a mistake that costs you tens of thousands of dollars. That's happened to us twice, so I'm sensitive to it. We're still trying to work on that. Our smallest client probably spends a hundred thousand dollars yearly on licensing, while our largest is well over a million."
"The product is not cheap, but it is not expensive."
"There is no need to pay extra for third-party software."
"There is a small fee for the EMR system, but major cost components are the underlying infrastructure resources which we actually use."
"Amazon EMR's price is reasonable."
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."
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Top Industries

By visitors reading reviews
Financial Services Firm
26%
Computer Software Company
13%
Manufacturing Company
8%
Educational Organization
8%
Financial Services Firm
19%
Computer Software Company
16%
Retailer
8%
Comms Service Provider
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Amazon EMR?
Amazon EMR is a good solution that can be used to manage big data.
See all answers
What is your experience regarding pricing and costs for Amazon EMR?
The cost of Amazon EMR is a little bit expensive, especially considering the support package, which includes a gold package.
See all answers
What needs improvement with Amazon EMR?
Spark jobs take longer on Amazon EMR compared to previous experiences. This aspect could be improved to make them more efficient.
See all answers
What do you like most about HPE Ezmeral Data Fabric?
It is a stable solution...It is a scalable solution.
See all answers
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...
See all answers
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 ...
See all answers
 

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Product Reports

Buyer's Guide
Amazon EMR
April 2025
Amazon EMR reportDownload Amazon EMR product report
Buyer's Guide
HPE Ezmeral Data Fabric
March 2025
HPE Ezmeral Data Fabric reportDownload HPE Ezmeral 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 Ezmeral Data Fabric
April 2025
Free Report: Amazon EMR vs. HPE Ezmeral Data Fabric
Find out what your peers are saying about Amazon EMR vs. HPE Ezmeral Data Fabric and other solutions. Updated: April 2025.
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