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Apache Hadoop vs. HPE Data Fabric

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Hadoop

    Score7.9 out of 10
    N/AHadoop is an open source software from Apache, supporting distributed processing and data storage. Hadoop is popular for its scalability, reliability, and functionality available across commoditized hardware.N/A

    HPE Data Fabric

    Score9.4 out of 10
    N/AHPE Data Fabric (formerly MapR, acquired by HPE in 2019) is a software-defined datastore and file system that simplifies data management and analytics by unifying data across core, edge, and multicloud sources into a single platform.N/A
    Pricing
    HadoopHPE Data Fabric
    Editions & Modules
    No answers on this topic
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    Offerings
    Pricing Offerings
    HadoopHPE Data Fabric
    Free Trial
    NoNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    HadoopHPE Data Fabric
    Considered Both Products
    Apache
    Chose Hadoop
    Hadoop being open source, is cheaper to use and do POCs for clients. Cloudera, Hortonworks and MapR also compete to contribute to open source Hadoop and keep their product conceptually similar to Hadoop.
    Incentivized
    Hewlett Packard Enterprise (HPE)
    Chose HPE Data Fabric
    Hortonworks and Cloudera are both sort of hacky. We have to do a lot of extra steps to automate those two. MapR has far fewer issues and doesn't force you into a once size fits all deployment scenario. There are multiple ways to deploy and some are more amenable to automation, …
    Incentivized
    Chose HPE Data Fabric
    When we were shopping, Mapr had the momentum, high availability even on Hadoop 1.x, an improved file system and better a central control system. Now it looks like the situation has changed a lot.
    Incentivized
    Chose HPE Data Fabric
    We supported all three Hadoop vendors with our Hadoop RDBMS product. Here's how I see the commercial Hadoop distribution world. If you need raw performance and don't mind proprietary technology, go with MapR. If you care about the most pure open source, go with Hortonworks. If …
    Incentivized
    Key User Insights
    Would buy again
    No answers on this topic
    No answers on this topic
    Delivers good value for the price
    No answers on this topic
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    Happy with the feature set
    No answers on this topic
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    Lived up to sales and marketing promises
    No answers on this topic
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    Implementation went as expected
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    User Ratings
    HadoopHPE Data Fabric
    Likelihood to Recommend
    8.0
    (37 ratings)
    7.2
    (4 ratings)
    Likelihood to Renew
    9.6
    (8 ratings)
    -
    (0 ratings)
    Usability
    8.0
    (6 ratings)
    -
    (0 ratings)
    Performance
    8.0
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    7.5
    (3 ratings)
    -
    (0 ratings)
    Online Training
    6.1
    (2 ratings)
    -
    (0 ratings)
    Data Sharing and Collaboration
    7.7
    (10 ratings)
    -
    (0 ratings)
    Data Sources
    8.7
    (10 ratings)
    -
    (0 ratings)