DataStax vs HPE Ezmeral Data Fabric comparison

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Executive Summary

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

Find out what your peers are saying about MongoDB, Couchbase, Apache and others in NoSQL Databases.
To learn more, read our detailed NoSQL Databases Report (Updated: March 2024).
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Featured Review
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Arnab Chatterjee
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Pricing and Cost Advice
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  • "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 →

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    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 »
    Ranking
    15th
    out of 16 in NoSQL Databases
    Views
    312
    Comparisons
    292
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    5th
    out of 22 in Hadoop
    Views
    1,711
    Comparisons
    1,097
    Reviews
    4
    Average Words per Review
    550
    Rating
    7.8
    Comparisons
    Also Known As
    MapR, MapR Data Platform
    Learn More
    Overview
    Big data platform built on Apache Cassandra.

    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.

    Sample Customers
    ING, Netflix, UBS, eBay, Constant Contact, Aeris, Arise, ClearCapital, Dyn, Engine, Noble Group, Pantheon, Target
    Valence Health, Goodgame Studios, Pico, Terbium Labs, sovrn, Harte Hanks, Quantium, Razorsight, Novartis, Experian, Dentsu ix, Pontis Transitions, DataSong, Return Path, RAPP, HP
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm35%
    Healthcare Company9%
    Computer Software Company7%
    Real Estate/Law Firm7%
    VISITORS READING REVIEWS
    Computer Software Company18%
    Financial Services Firm17%
    Comms Service Provider7%
    Government7%
    Company Size
    VISITORS READING REVIEWS
    Small Business25%
    Midsize Enterprise11%
    Large Enterprise64%
    REVIEWERS
    Small Business36%
    Large Enterprise64%
    VISITORS READING REVIEWS
    Small Business24%
    Midsize Enterprise12%
    Large Enterprise65%
    Buyer's Guide
    NoSQL Databases
    March 2024
    Find out what your peers are saying about MongoDB, Couchbase, Apache and others in NoSQL Databases. Updated: March 2024.
    765,234 professionals have used our research since 2012.

    DataStax is ranked 15th in NoSQL Databases while HPE Ezmeral Data Fabric is ranked 5th in Hadoop with 12 reviews. DataStax is rated 0.0, while HPE Ezmeral Data Fabric is rated 8.0. On the other hand, the top reviewer of HPE Ezmeral Data Fabric writes "It's flexible and easily accessible across multiple locations, but the upgrade process is complicated". DataStax is most compared with Cassandra, ScyllaDB and MongoDB, whereas HPE Ezmeral Data Fabric is most compared with Cloudera Distribution for Hadoop, Amazon EMR, MongoDB, IBM Spectrum Computing and BlueData.

    We monitor all NoSQL Databases 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.