HPE Ezmeral Data Fabric vs IBM Spectrum Computing comparison

Hewlett Packard Enterprise and IBM are both solutions in the Hadoop category. Hewlett Packard Enterprise is ranked #4 with an average rating of 8.0, while IBM is ranked #6 with an average rating of 8.0. Hewlett Packard Enterprise holds a 14.2% mindshare in H, compared to IBM’s 1.9% mindshare. Additionally, 100% of Hewlett Packard Enterprise users are willing to recommend the solution, compared to 57% of IBM users who would recommend it.

HPE Ezmeral Data Fabric

Read 12 HPE Ezmeral Data Fabric reviews

1,153 Views
969 Comparison Views

100% willing to recommend

IBM Spectrum Computing

Read 9 IBM Spectrum Computing reviews

538 Views
124 Comparison Views

57% willing to recommend

HPE Ezmeral Data Fabric

IBM Spectrum Computing

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between HPE Ezmeral Data Fabric and IBM Spectrum Computing 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 HPE Ezmeral Data Fabric vs. IBM Spectrum Computing Report (Updated: September 2025).

Buyer's Guide

HPE Ezmeral Data Fabric vs. IBM Spectrum Computing

September 2025

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Helped 867,370 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

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

IBM Spectrum Computing

Ranking in Hadoop

6th

Average Rating

8.2

Reviews Sentiment

5.9

Number of Reviews

Ranking in other categories

Cloud Management (26th)

Mindshare comparison

As of September 2025, in the Hadoop category, the mindshare of HPE Ezmeral Data Fabric is 14.2%, up from 13.5% compared to the previous year. The mindshare of IBM Spectrum Computing is 1.9%, down from 2.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Hadoop Market Share Distribution
Product	Market Share (%)
HPE Ezmeral Data Fabric	14.2%
IBM Spectrum Computing	1.9%
Other	83.9%

Hadoop

Featured Reviews

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.

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OmarIsmail1

Infrastructure Technical Specialist II at Clicks Group

Senior Technical Specialist appreciates intelligent workload management, strong support, and scalability

The best features of IBM Spectrum Computing are common across many of their storage products. The software is solid, meaning that the code is stable. They take business seriously, which is what IBM stands for - International Business Machines. They always maintain a business-oriented approach in their software development. It's not simply clicking through interfaces; in IBM software, they consider their actions, process flows, and workflows around business processes. It requires understanding IBM and their methodology, as the software operates accordingly. I have utilized IBM Spectrum Computing's intelligent workload management feature. We use Insights, which is connected to the cloud. This provides AI capabilities for analyzing the configuration, offering smart recommendations on new code, warning about bugs in current code, and suggesting configuration improvements through its advisor tool. The predictive analytics feature in IBM Spectrum Computing enables optimal software performance through Insights. However, being a storage administrator requires foundational knowledge and understanding beyond these tools. For troubleshooting, it's efficient in spotting bottlenecks, but understanding the terms and metrics is essential as it provides answers that need interpretation.

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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

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

"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."

"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 most valuable feature is the backup capability."

"Easy to operate and use."

"I have utilized IBM Spectrum Computing's intelligent workload management feature through Insights, which is connected to the cloud."

"The most valuable aspect of the product is the policy driving resource management, to optimize the computing across data centers."

"The best features of IBM Spectrum Computing are common across many of their storage products."

"The comparison was challenging, but the IBM Spectrum Scale offered a balanced solution. Our engineers rated itsanalytics capabilities equally high as Pure Storage. For workload management, Spectrum Computing provided effective solutions that met our needs. Workload management is part of a complete solution that uses different tools. There were the cloud and HPC parts; within HPC, there were parts like liquid cooling, simple computing, storage, and orchestration. The orchestration team handled the workload management."

"We are satisfied with the technical support, we have no issues."

"This solution is working for both VTL and tape."

More IBM Spectrum Computing pros

Cons

"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."

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

"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."

"The deduplication software isn't quite up to speed with the market. While IBM has excellent compression technology, specifically on their FlashCore modules, they lag behind competitors such as NetApp in deduplication capabilities."

"In Pakistan, IBM's disadvantage is the lack of OEM support and presence."

"Lack of sufficient documentation, particularly in Spanish."

"We have not been able to use deduplication."

"This solution is no longer managing tapes correctly."

"IBM's sales and support structure can be challenging."

"SMB storage and HPC is not compatible and it should be supported by IBM Spectrum Computing."

"Spectrum Computing is lagging behind other products, most likely because it hasn't been shifted to the cloud."

More IBM Spectrum Computing cons

Pricing and Cost Advice

"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."

"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."

"This solution is expensive."

"Spectrum Computing is one of the most expensive products on the market."

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Top Industries

By visitors reading reviews

Financial Services Firm

20%

Computer Software Company

13%

Comms Service Provider

11%

Government

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	4
Large Enterprise	7

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	1
Large Enterprise	6

Questions from the Community

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...

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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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What is your experience regarding pricing and costs for IBM Spectrum Computing?

IBM Spectrum Computing consistently offers competitive pricing. When solutioning new implementations, IBM always presents the best solution and price. In a recent comparison with Pure Storage and N...

See all answers

What needs improvement with IBM Spectrum Computing?

IBM Spectrum Computing had limitations with remote copy services between head office and disaster recovery sites. In the last year, IBM has improved the code by re-engineering it to policy-based re...

See all answers

What is your primary use case for IBM Spectrum Computing?

The typical use case for IBM Spectrum Computing is that it's an all-rounder. It can be used in various scenarios, such as the retailer I work for that has batch processing. It's on-demand when perf...

See all answers

Comparisons

Cloudera Distribution for Hadoop vs HPE Ezmeral Data Fabric

Compared 52% of the time

Cloudera Data Platform vs HPE Ezmeral Data Fabric

Compared 16% of the time

Apache Spark vs HPE Ezmeral Data Fabric

Compared 13% of the time

Amazon EMR vs HPE Ezmeral Data Fabric

Compared 10% of the time

IBM Analytics Engine vs HPE Ezmeral Data Fabric

Compared 10% of the time

More HPE Ezmeral Data Fabric Competitors

Flexera Cloud Management Platform (CMP) vs IBM Spectrum Computing

Compared 36% of the time

Cloudera Data Platform vs IBM Spectrum Computing

Compared 25% of the time

VMware Aria Automation vs IBM Spectrum Computing

Compared 20% of the time

Morpheus vs IBM Spectrum Computing

Compared 20% of the time

More IBM Spectrum Computing Competitors

Product Reports

Buyer's Guide

HPE Ezmeral Data Fabric

September 2025

Download HPE Ezmeral Data Fabric product report

Buyer's Guide

Hadoop

August 2025

Download IBM Spectrum Computing product report

Also Known As

MapR, MapR Data Platform

IBM Platform Computing

Overview

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

IBM Spectrum Computing uses intelligent workload and policy-driven resource management to optimize resources across the data center, on premises and in the cloud. Now up to 150X faster and scalable to over 160,000 cores, IBM provides you with the latest advances in software-defined infrastructure to help you unleash the power of your distributed mission-critical high performance computing (HPC), analytics and big data applications as well as a new generation open source frameworks such as Hadoop and Spark.

IBM

Sample Customers

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

London South Bank University, Transvalor, Infiniti Red Bull Racing, Genomic

Buyer's Guide

HPE Ezmeral Data Fabric vs. IBM Spectrum Computing

September 2025

Free Report: HPE Ezmeral Data Fabric vs. IBM Spectrum Computing

Find out what your peers are saying about HPE Ezmeral Data Fabric vs. IBM Spectrum Computing and other solutions. Updated: September 2025.

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