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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Azure Cosmos DB

    Score9.1 out of 10
    N/AMicrosoft Azure Cosmos DB is Microsoft's Big Data analysis platform. It is a NoSQL database service and is a replacement for the earlier DocumentDB NoSQL database.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
    Azure Cosmos DBHPE Data Fabric
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Azure Cosmos DBHPE 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
    Azure Cosmos DBHPE Data Fabric
    Small Businesses
    No answers on this topic
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    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
    Azure Cosmos DBHPE Data Fabric
    Likelihood to Recommend
    10.0
    (7 ratings)
    7.2
    (4 ratings)
    Likelihood to Renew
    7.6
    (4 ratings)
    -
    (0 ratings)
    Usability
    8.8
    (2 ratings)
    -
    (0 ratings)
    Support Rating
    9.2
    (2 ratings)
    -
    (0 ratings)
    User Testimonials
    Azure Cosmos DBHPE Data Fabric
    Likelihood to Recommend
    Microsoft
    Like any NoSQL database, whether it's MongoDB or not, it's best suited for unstructured data. It's also well suited for storing raw data before processing it and performing any type of ETL on the data.
    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
    Microsoft
    • Scalable Instantly and automatically serverless database for any large scale business.
    • Quick access and response to data queries due to high speed in reading and writing data
    • Create a powerful digital experience for your customers with real-time offers and agile access to DB with super-fast analysis and comparison for best recommendation
    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
    Microsoft
    • Expensive, so be careful of the use case.
    • We had a thought time migrating from traditional DBs to Cosmos. Azure should provide a seamless platform for the migration of data from on-premises to cloud.
    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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    Likelihood to Renew
    Microsoft
    It's efficient, easy to scale, and works. We do have to do a bit of administration, but less now than when we started with this a couple of years ago. Microsoft continues to improve its self-management capability.
    Incentivized
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    Hewlett Packard Enterprise (HPE)
    No answers on this topic
    Usability
    Microsoft
    It has very good compatibility and adaptability with other APIs and developers can safely create new apps because it is compatible with various tools and can be easily managed and run under the cloud, and in terms of security, it is one of the best of its kind, which is very powerful and excellent.
    Incentivized
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    Hewlett Packard Enterprise (HPE)
    No answers on this topic
    Support Rating
    Microsoft
    Microsoft is the best when it comes to after-sales support. They have a well-structured training and knowledge base portal that anyone can use. They are usually quick to respond to cases and are on point for on-call support. I have no complaints from a support standpoint. Pretty happy with the support.
    Incentivized
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    Hewlett Packard Enterprise (HPE)
    No answers on this topic
    Alternatives Considered
    Microsoft
    Cosmos DB is unique in the industry as a true multi-model, cloud-native database engine that comes with solutions for geo-redundancy, multi-master writes, (globally!) low latency, and cost-effective hosting built in. I've yet to see anything else that even comes close to the power that Cosmos DB packs into its solution. The simplicity and tooling support are nice bonus features as well.
    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
    Microsoft
    • It's made managing raw data much easier
    • It provides a way to maintain raw data at a low cost
    • It's easy to massage the data
    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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