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Cloudera Data Platform vs. HPE Data Fabric

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Cloudera Data Platform

    Score7.4 out of 10
    N/ACloudera Data Platform (CDP), launched September 2019, is designed to combine the best of Hortonworks and Cloudera technologies to deliver an enterprise data cloud. CDP includes the Cloudera Data Warehouse and machine learning services as well as a Data Hub service for building custom business applications.

    $0.04

    per CCU (hourly rate)

    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
    Cloudera Data PlatformHPE Data Fabric
    Editions & Modules
    CDP Public Cloud - Data Hub
    $0.04
    per CCU (hourly rate)
    CDP Public Cloud - Data Warehouse
    $0.054
    per CCU (hourly rate)
    CDP Public Cloud - Data Engineering
    $0.07
    per CCU (hourly rate)
    CDP Public Cloud - Operational Database
    $0.08
    per CCU (hourly rate)
    CDP Public Cloud - Flow Management
    $0.15
    per CCU (hourly rate)
    CDP Public Cloud - Machine Learning
    $0.17
    per CCU (hourly rate)
    CDP Private Cloud - Plus Edition
    $400
    CCU (annual subscription)
    CDP Private Cloud - Base Edition
    $10,000.00
    node + variable (annual subscription)
    No answers on this topic
    Offerings
    Pricing Offerings
    Cloudera Data PlatformHPE Data Fabric
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Best Alternatives
    Cloudera Data PlatformHPE Data Fabric
    Small Businesses
    No answers on this topic
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    Medium-sized Companies
    Cloudera Enterprise Data Hub
    Score9 out of 10
    HBase
    Score7.3 out of 10
    Enterprises
    Oracle Exadata
    Score9.8 out of 10
    Cassandra
    Score9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Cloudera Data PlatformHPE Data Fabric
    Likelihood to Recommend
    7.0
    (1 ratings)
    7.2
    (4 ratings)
    Support Rating
    8.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    Cloudera Data PlatformHPE Data Fabric
    Likelihood to Recommend
    Cloudera
    I have seen that Cloudera Data Platform is well suited for large batch processes. It works really well for our indication analyses that are performed by the actuaries. I feel that rapid streaming operations may be a situation where additional technology would be needed to provide for a robust solution.
    Incentivized
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    Hewlett Packard Enterprise (HPE)
    MapR is more well-suited for people who know what they are doing. I consider MapR the Hadoop distribution professionals use.
    Incentivized
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    Pros
    Cloudera
    • Scales
    • Highly available
    Incentivized
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    Hewlett Packard Enterprise (HPE)
    • MapR had very fast I/O throughput. The write speed was several times faster than what we could achieve with the other Hadoop vendors (Cloudera and Hortonworks). This is because MapR does not use HDFS, which is essentially a "meta filesystem". HDFS is built on top of the filesystem provided by the OS. MapR has their filesystem called MapR-FS, which is a true filesystem and accesses the raw disk drives.
    • The MapR filesystem is very easy to integrate with other Linux filesystems. When working with HDFS from Apache Hadoop, you usually have to use either the HDFS API or various Hadoop/HDFS command line utilities to interact with HDFS. You cannot use command line utilities native to the host operation system, which is usually Linux. At least, it is not easily done without setting up NFS, gateways, etc. With MapR-FS, you can mount the filesystem within Linux and use the standard Unix commands to manipulate files.
    • The HBase distribution provided by MapR is very similar to the Apache HBase distribution. Cloudera and Hortonworks add GUIs and other various tools on top of their HBase distributions. The MapR HBase distribution is very similar to the Apache distribution, which is nice if you are more accustomed to using Apache HBase.
    Incentivized
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    Cons
    Cloudera
    • Constantly changing costs
    • Log visibility
    Incentivized
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    Hewlett Packard Enterprise (HPE)
    • It takes time to get latest versions of Apache ecosystem tools released as it has to be adapted.
    • When you have issues related to Mapr-FS or Mapr Tables, its hard to figure them out by ourselves.
    • Sometime new ecosystem tools versions are released without proper QA.
    Incentivized
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    Support Rating
    Cloudera
    We have utilized Cloudera support quite frequently and are very satisfied with the capability and responsiveness of that team. Often, the new features delivered with the platform give us an opportunity to mature the way we're doing things, and the support team have been valuable in developing those new patterns.
    Incentivized
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    Hewlett Packard Enterprise (HPE)
    No answers on this topic
    Alternatives Considered
    Cloudera
    IBM's offering of the Cloud Pak for Data has been a moving target and difficult to compare to Cloudera Data Platform. We have implemented our solution on Amazon Web Services, which appears to be supported by IBM at this point, but the migration would be very expensive for us to endeavor.
    Incentivized
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    Hewlett Packard Enterprise (HPE)
    I don't believe there is as much support for MapR yet compared to other more widely known products.
    Incentivized
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    Return on Investment
    Cloudera
    • Reduced operational costs
    • Speed to market
    Incentivized
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    Hewlett Packard Enterprise (HPE)
    • Increased employee efficiency for sure. Our clients have various levels of expertise in their deployment and user teams, and we never receive complaints about MapR.
    • MapR is used by one of our financial services clients who uses it for fraud detection and user pattern analysis. They are able to turn around data much faster than they previously had with in-house applications
    Incentivized
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