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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

    ScyllaDB

    Score9.9 out of 10
    N/AScyllaDB headquartered in Palo Alto offers Scylla, a NoSQL database alternative to Apache Cassandra available in Enterprise and Cloud DBaaS editions.N/A
    Pricing
    HPE Data FabricScyllaDB
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    HPE Data FabricScyllaDB
    Free Trial
    NoYes
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details
    More Pricing Information
    Best Alternatives
    HPE Data FabricScyllaDB
    Small Businesses
    No answers on this topic
    No answers on this topic
    Medium-sized Companies
    HBase
    Score7.3 out of 10
    HBase
    Score7.3 out of 10
    Enterprises
    Cassandra
    Score9 out of 10
    Cassandra
    Score9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    HPE Data FabricScyllaDB
    Likelihood to Recommend
    7.2
    (4 ratings)
    9.1
    (1 ratings)
    Usability
    -
    (0 ratings)
    8.2
    (1 ratings)
    Support Rating
    -
    (0 ratings)
    9.1
    (1 ratings)
    User Testimonials
    HPE Data FabricScyllaDB
    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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    ScyllaDB
    Scylla is well suited for high-throughput scenarios where keyed data must be read or written with consistently low latency. It's less appropriate for use cases requiring relational queries, secondary indexes, or more structured data sets.
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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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    ScyllaDB
    • Low-latency reads
    • CQL has a familiar syntax
    • Parity with Cassandra
    • Practical features
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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
    Read full review
    ScyllaDB
    • Better documentation for best practices (e.g., how to effectively use connection pooling)
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    Usability
    Hewlett Packard Enterprise (HPE)
    No answers on this topic
    ScyllaDB
    Very easy-to-understand syntax--uses CQL (same as Cassandra), which has many similarities to standard SQL. There are some gotchas, however, that must be known during schema development.
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    Support Rating
    Hewlett Packard Enterprise (HPE)
    No answers on this topic
    ScyllaDB
    The Scylla cloud support team is incredibly responsive and proactive.
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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
    Read full review
    ScyllaDB
    Scylla has a quick learning curve (same as Cassandra) compared to other proprietary solutions like BigTable. It supports higher throughput and lower latency that other NoSQL databases like MongoDB, which sacrifice those features for more flexibility and unique features.
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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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    ScyllaDB
    • Addresses latency requirements of our platform
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