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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

    Watson IoT Platform

    Score8.5 out of 10
    N/AThe IBM Watson IoT Platform is an Internet-of-things is a managed cloud-hosted solution supporting device connectivity, control, visualization, and overall device visibility and management. It provides a UI where users can add and manage devices, control access to IoT service, and monitor usage. With its device management service, users can perform device actions like rebooting or updating firmware, receive device diagnostics and metadata, or perform bulk device addition and removal.N/A
    Pricing
    HPE Data FabricWatson IoT Platform
    Editions & Modules
    No answers on this topic
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    Offerings
    Pricing Offerings
    HPE Data FabricWatson IoT Platform
    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 FabricWatson IoT Platform
    Small Businesses
    No answers on this topic
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    Medium-sized Companies
    HBase
    Score7.3 out of 10
    No answers on this topic
    Enterprises
    Cassandra
    Score9 out of 10
    No answers on this topic
    All AlternativesView all alternativesView all alternatives
    User Ratings
    HPE Data FabricWatson IoT Platform
    Likelihood to Recommend
    7.2
    (4 ratings)
    8.4
    (2 ratings)
    User Testimonials
    HPE Data FabricWatson IoT Platform
    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.
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    IBM
    For large companies with large-scale manufacturing, electronics management, and infrastructures that require lots of maintenance, IBM Watson IoT is a must-have. It greatly increases performance, decreases downtime, and is an all-around great management dashboard. This is best for infrastructures that have a larger infrastructures of IoT devices in an enterprise/manufacturing setting, otherwise IBM Watson may not bring many benefits to your team.
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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.
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    IBM
    • The asset information is available in both static and dynamic format (from thermal images, to OEM data, to time series data). The ability to ingest all the information using a single platform has great value.
    • Another benefit is a seamless integration with Maximo. This has been a challenge with other 3rd party systems available.
    • The experience of IBM Maximo systems updates is positive.
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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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    IBM
    • Some of the tutorials could use a little more improvement - While there is a considerable amount of documentation, most of the good documentation for Watson IoT we found to be from third-parties.
    • Administration and billing tools could use a bit more improvement - The UI is a bit clunky and poorly-designed here.
    • Be prepared to work with IBM support to get this going - Their turn-around support for inquiries can be lengthy, and setup time may also be quite lengthy because of this.
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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.
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    IBM
    Predix has recently launched their Asset Performance management Unified system. I am keen to see how it stacks up against Watson.
    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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    IBM
    • Positive - This tool greatly increases most company's manufacturing and production efficiency, and the use-cases are extensive. It was a great way of decreasing down-time for us.
    • Negative - Took lots of work and energy to get up and running, we had to rely on IBM support and tutorials many times during this process.
    • Positive - Quite cheap, most of the tiers of pricing cost very little, and it's possible to use Watson IoT for a few months for free to see if it is beneficial for your company.
    Incentivized
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