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HPE Data Fabric vs. Tanzu Data Services (Greenplum, GemFire, RabbitMQ, Tanzu SQL)

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    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

    VMware Tanzu Data Services

    Score6 out of 10
    N/ATanzu Data Services is a family of data-driven solutions built to store, process, and query critical data resources in real-time and at massive scale, both on-premises and in the multi-cloud world.N/A
    Pricing
    HPE Data FabricVMware Tanzu Data Services
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    HPE Data FabricVMware Tanzu Data Services
    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
    HPE Data FabricVMware Tanzu Data Services
    Small Businesses
    No answers on this topic
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    Medium-sized Companies
    HBase
    Score7.3 out of 10
    Cloudera Enterprise Data Hub
    Score9 out of 10
    Enterprises
    Cassandra
    Score9 out of 10
    Oracle Exadata
    Score9.8 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    HPE Data FabricVMware Tanzu Data Services
    Likelihood to Recommend
    7.2
    (4 ratings)
    8.0
    (1 ratings)
    Support Rating
    -
    (0 ratings)
    8.0
    (1 ratings)
    User Testimonials
    HPE Data FabricVMware Tanzu Data Services
    Likelihood to Recommend
    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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    Broadcom
    If you need to execute ml algorithms, learning techniques, or mathematical calculations on large amounts of heterogeneous data, VMware Tanzu Data Services will be ideal. It will be really simple to set up, particularly if you choose AWS as your integrated cloud provider. However, if you're working with lower data amounts, such as gigabytes, it can be superfluous.
    Incentivized
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    Pros
    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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    Broadcom
    • Apache MADlib provides popular machine learning functionality.
    • Allows you to query terabytes of data databases.
    • Interoperability for AWS S3 is effortless.
    Incentivized
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    Cons
    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.
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    Broadcom
    • Running on Azure is a little more difficult.
    • Synchronization with Kafka may be a little easier.
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    Support Rating
    Hewlett Packard Enterprise (HPE)
    No answers on this topic
    Broadcom
    They were very helpful. We needed support for initial implementation.
    Incentivized
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    Alternatives Considered
    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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    Broadcom
    No answers on this topic
    Return on Investment
    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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    Broadcom
    • There was a noticeable reduction in system reliability.
    • Saw a reduction in unsuccessful analytics operations.
    Incentivized
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