HPE Ezmeral Data Fabric vs IBM Spectrum Computing comparison

Cancel
You must select at least 2 products to compare!
Comparison Buyer's Guide
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: March 2024).
763,955 professionals have used our research since 2012.
Featured Review
Arnab Chatterjee
Mohamed Youssef
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"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.""It is a stable solution...It is a scalable solution.""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."

More HPE Ezmeral Data Fabric Pros →

"The most valuable feature is the backup capability.""The most valuable aspect of the product is the policy driving resource management, to optimize the computing across data centers.""Spectrum Computing's best features are its speed, robustness, and data processing and analysis.""This solution is working for both VTL and tape.""Easy to operate and use.""We are satisfied with the technical support, we have no issues."

More IBM Spectrum Computing Pros →

Cons
"The deployment could be faster. I want more support for the data lake in the next release.""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.""HPE Ezmeral Data Fabric is not compatible with third-party tools.""The product is not user-friendly."

More HPE Ezmeral Data Fabric Cons →

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

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."
  • "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."
  • More HPE Ezmeral Data Fabric Pricing and Cost Advice →

  • "This solution is expensive."
  • "Spectrum Computing is one of the most expensive products on the market."
  • More IBM Spectrum Computing Pricing and Cost Advice →

    report
    Use our free recommendation engine to learn which Hadoop solutions are best for your needs.
    763,955 professionals have used our research since 2012.
    Questions from the Community
    Top Answer:It is a stable solution...It is a scalable solution.
    Top Answer: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 Fabric… more »
    Top Answer: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 HPE… more »
    Top Answer:This solution is too expensive for a lot of our customers.
    Top Answer:The biggest problem is the lack of documentation in general, and documentation in Spanish, in particular.
    Ranking
    5th
    out of 22 in Hadoop
    Views
    1,711
    Comparisons
    1,097
    Reviews
    4
    Average Words per Review
    550
    Rating
    7.8
    7th
    out of 22 in Hadoop
    Views
    218
    Comparisons
    194
    Reviews
    1
    Average Words per Review
    240
    Rating
    9.0
    Comparisons
    Also Known As
    MapR, MapR Data Platform
    IBM Platform Computing
    Learn More
    Hewlett Packard Enterprise
    Video Not Available
    IBM
    Video Not Available
    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.

    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.

    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
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company17%
    Financial Services Firm17%
    Comms Service Provider7%
    Government7%
    VISITORS READING REVIEWS
    Comms Service Provider31%
    Media Company16%
    Financial Services Firm11%
    Computer Software Company10%
    Company Size
    REVIEWERS
    Small Business36%
    Large Enterprise64%
    VISITORS READING REVIEWS
    Small Business24%
    Midsize Enterprise12%
    Large Enterprise65%
    REVIEWERS
    Small Business43%
    Large Enterprise57%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise18%
    Large Enterprise67%
    Buyer's Guide
    HPE Ezmeral Data Fabric vs. IBM Spectrum Computing
    March 2024
    Find out what your peers are saying about HPE Ezmeral Data Fabric vs. IBM Spectrum Computing and other solutions. Updated: March 2024.
    763,955 professionals have used our research since 2012.

    HPE Ezmeral Data Fabric is ranked 5th in Hadoop with 4 reviews while IBM Spectrum Computing is ranked 7th in Hadoop with 2 reviews. HPE Ezmeral Data Fabric is rated 8.0, while IBM Spectrum Computing is rated 7.8. The top reviewer of HPE Ezmeral Data Fabric writes "It's flexible and easily accessible across multiple locations, but the upgrade process is complicated". On the other hand, the top reviewer of IBM Spectrum Computing writes "One of the best tools in the data management and services area". HPE Ezmeral Data Fabric is most compared with Cloudera Distribution for Hadoop, Amazon EMR, MongoDB, BlueData and Informatica Big Data Parser, whereas IBM Spectrum Computing is most compared with Apache Spark and IBM Turbonomic. See our HPE Ezmeral Data Fabric vs. IBM Spectrum Computing 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.