HPE Ezmeral Data Fabric vs IBM Spectrum Computing comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

HPE Ezmeral Data Fabric
Ranking in Hadoop
5th
Average Rating
8.0
Number of Reviews
12
Ranking in other categories
No ranking in other categories
IBM Spectrum Computing
Ranking in Hadoop
7th
Average Rating
7.8
Number of Reviews
6
Ranking in other categories
Cloud Management (10th)
 

Market share comparison

As of June 2024, in the Hadoop category, the market share of HPE Ezmeral Data Fabric is 15.6% and it increased by 33.4% compared to the previous year. The market share of IBM Spectrum Computing is 2.6% and it increased by 171.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Hadoop
Unique Categories:
No other categories found
Cloud Management
1.2%
 

Featured Reviews

Arnab Chatterjee - PeerSpot reviewer
Jan 18, 2023
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.
MY
Sep 27, 2019
Provides stable backup for our databases and has good technical support
The primary use case of this solution is to backup everything in our data center. This includes VMware environments, Microsoft Hyper-V, Unix machines including HP UNIX, and AIX, as well as normal machines for Windows. The deployment model we used was on-premises The most valuable feature is the…

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."
"HPE Ezmeral Data Fabric can be accessed from any namespace globally as you would access it from a machine using an NFS."
"I like the administration part."
"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."
"The model creation was very interesting, especially with the libraries provided by the platform."
"This solution is working for both VTL and tape."
"Spectrum Computing's best features are its speed, robustness, and data processing and analysis."
"The most valuable aspect of the product is the policy driving resource management, to optimize the computing across data centers."
"Easy to operate and use."
"The most valuable feature is the backup capability."
"We are satisfied with the technical support, we have no issues."
 

Cons

"Having the ability to extend the services provided by the platform to an API architecture, a micro-services architecture, could be very helpful."
"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."
"Spectrum Computing is lagging behind other products, most likely because it hasn't been shifted to the cloud."
"SMB storage and HPC is not compatible and it should be supported by IBM Spectrum Computing."
"We'd like to see some AI model training for machine learning."
"This solution is no longer managing tapes correctly."
"We have not been able to use deduplication."
"Lack of sufficient documentation, particularly in Spanish."
 

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."
"There is a need for my company to pay for the licensing costs of the solution."
"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."
"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
18%
Computer Software Company
15%
Manufacturing Company
8%
Government
7%
Comms Service Provider
31%
Media Company
16%
Financial Services Firm
12%
Computer Software Company
10%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

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 ...
What needs improvement with IBM Spectrum Computing?
The biggest problem is the lack of documentation in general, and documentation in Spanish, in particular.
 

Also Known As

MapR, MapR Data Platform
IBM Platform Computing
 

Learn More

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Overview

 

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
Find out what your peers are saying about HPE Ezmeral Data Fabric vs. IBM Spectrum Computing and other solutions. Updated: May 2024.
787,104 professionals have used our research since 2012.