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HPE Data Fabric vs. Oracle Big Data Cloud Service

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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

    Oracle Big Data Cloud Service

    Score6 out of 10
    N/AThe Oracle Big Data Cloud Services features managed and secure platform cloud service for Apache Hadoop and Apache Spark delivered as an elastic, integrated platform. It provides support for streaming, batch, and interactive analysis.N/A
    Pricing
    HPE Data FabricOracle Big Data Cloud Service
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    HPE Data FabricOracle Big Data Cloud Service
    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
    Features
    HPE Data FabricOracle Big Data Cloud Service
    Platform-as-a-Service
    Comparison of Platform-as-a-Service features of HPE Data Fabric and Oracle Big Data Cloud Service
    Feature
    HPE Data Fabric
    -
    Ratings
    Oracle Big Data Cloud Service
    8.1
    1 Ratings
    1% above category average
    Ease of building user interfaces00 Ratings9.01 Ratings
    Scalability00 Ratings7.01 Ratings
    Platform management overhead00 Ratings9.01 Ratings
    Workflow engine capability00 Ratings8.01 Ratings
    Platform access control00 Ratings8.01 Ratings
    Services-enabled integration00 Ratings8.01 Ratings
    Development environment creation00 Ratings9.01 Ratings
    Issue recovery00 Ratings7.01 Ratings
    Best Alternatives
    HPE Data FabricOracle Big Data Cloud Service
    Small Businesses
    No answers on this topic
    IBM Cloud Foundry
    Score6 out of 10
    Medium-sized Companies
    Cloudera Manager
    Score9.9 out of 10
    IBM Cloud Private
    Score9.6 out of 10
    Enterprises
    Apache Spark
    Score9.2 out of 10
    AWS Elastic Beanstalk
    Score7.3 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    HPE Data FabricOracle Big Data Cloud Service
    Likelihood to Recommend
    7.2
    (4 ratings)
    10.0
    (1 ratings)
    User Testimonials
    HPE Data FabricOracle Big Data Cloud Service
    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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    Oracle
    We use it only when we need to and we have found that the software does what it needs to, it's user friendly and us also really helpful in many other ways as well. Like I mentioned before, we love the security and the speed we receive.
    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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    Oracle
    • User friendly
    • Offers support and assistance
    • Worth the cost
    • Time efficient
    • Good reliability
    • Reliable support
    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.
    Incentivized
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    Oracle
    • Less pricey
    • Customizable
    • A little more help in setting up/using the systems
    • Constant upgrades are always pricey
    • Some bugs noticable
    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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    Oracle
    Although new, Oracle has been exceptionally good speed wise and the customer service is top notch
    Incentivized
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    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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    Oracle
    • It has had a good impact we are able to complete our projects in time
    • We can save all our data in a safe and secure location
    • Our data analysis is now faster than ever
    Incentivized
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