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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

    Prometheus

    Score8 out of 10
    N/APrometheus is a service monitoring and time series database, which is open source.N/A
    Pricing
    HPE Data FabricPrometheus
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    HPE Data FabricPrometheus
    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
    Community Pulse
    HPE Data FabricPrometheus
    Considered Both Products
    Hewlett Packard Enterprise (HPE)
    No answer on this topic
    Open Source
    No answer on this topic
    Key User Insights
    Would buy again
    No answers on this topic
    100%
    Would buy again
    35 Answers
    Delivers good value for the price
    No answers on this topic
    100%
    Delivers good value for the price
    34 Answers
    Happy with the feature set
    No answers on this topic
    100%
    Happy with the feature set
    35 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    100%
    Lived up to sales and marketing promises
    26 Answers
    Implementation went as expected
    No answers on this topic
    100%
    Implementation went as expected
    29 Answers
    Best Alternatives
    HPE Data FabricPrometheus
    Small Businesses
    No answers on this topic
    InfluxDB
    Score9 out of 10
    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 FabricPrometheus
    Likelihood to Recommend
    7.2
    (4 ratings)
    7.8
    (35 ratings)
    Usability
    -
    (0 ratings)
    7.1
    (3 ratings)
    Support Rating
    -
    (0 ratings)
    5.0
    (1 ratings)
    User Testimonials
    HPE Data FabricPrometheus
    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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    Open Source
    This program works from the roots of the problem and creates a professional matrix for each of its users. This will give them more skills and resources to carry out tasks and reduce the difficulties of operating each of the processes of my work, as well as being An ally for the manipulation and operability of all your master data; Prometheus is very easy to recommend since it is a program that fulfills its mission.
    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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    Open Source
    • Looking at metrics such as the aggregate number of HTTP requests served.
    • Understanding how our services are performing in aggregate.
    • Easy to deploy within a variety of architectures/environments.
    • Open source so new features are added regularly and bugs are fixed in a timely manner.
    • Free so there are no licensing restrictions.
    • Endorsed by the Cloud Native Computing Foundation.
    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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    Open Source
    • Customer Service: since this is an open-source tool, customer service is not that great. Generally, you get all answers to your problems in online forums, but in case you got stuck, nobody will assist you in a channelised manner. You will have to find the way out on your own, and it may become frustrating at times.
    • More metrics for dashboards shall be added per the application being monitored. Standards metrics will work in most cases but may not in specific applications. Therefore, customised metrics shall be created for some of the industry-standard niche applications.
    Incentivized
    Read full review
    Usability
    Hewlett Packard Enterprise (HPE)
    No answers on this topic
    Open Source
    It is usable and one can learn if few people in the team are already using it. It can be difficult to understand at the beginning because of non intuitive UI and syntax of the rules. So, I've gone for 7 points as there is some room for improvement in user interface and rules syntax.
    Incentivized
    Read full review
    Support Rating
    Hewlett Packard Enterprise (HPE)
    No answers on this topic
    Open Source
    Never had to reach out to them.
    Incentivized
    Read full review
    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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    Open Source
    Highly customized pricing plans to choose from. Lower pricing for the same features compared to competitors. Easy to reach the support team, which provided detailed documentation and helped set up the Prometheus. Monitoring metrics gets very easy after the integration with Grafana. It also has a sophisticated alert setting mechanism to ensure we don't miss anything critical.
    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
    Read full review
    Open Source
    • We are still working on the ROI
    • The ROI mentioned during the purchase has not been achieved, however this could be due to lack of data from our side. 2 years of implementation is too early to calculate and confirm the ROI.
    Incentivized
    Read full review
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