What users are saying about
36 Ratings
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Score 8.9 out of 100
38 Ratings
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Score 9.1 out of 100

Attribute Ratings

  • IBM Analytics Engine is rated higher in 1 area: Likelihood to Recommend

Likelihood to Recommend

9.0

Azure HDInsight

90%
5 Ratings
9.4

IBM Analytics Engine

94%
9 Ratings

Usability

8.9

Azure HDInsight

89%
4 Ratings

IBM Analytics Engine

N/A
0 Ratings

Support Rating

8.9

Azure HDInsight

89%
4 Ratings

IBM Analytics Engine

N/A
0 Ratings

Likelihood to Recommend

Microsoft

If you want to save costs and just pay for what you use, I highly recommend it. It will help you also to work with data for your reports and analytics. on the other hand I think it could be the subscription you have but high volume of data make it slow but not so much. anyway I think it's really good because it's from Microsoft which always is friendly to use it as all the suit they have.
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IBM

  • Well suited for my big data related project or a static data set analysis especially for uploading huge dataset to the cluster.
  • But had some issues with connecting IoT real-time data and feeding to Power BI. It might be my understanding please take it as a mere comment rather than a suggestion.
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Pros

Microsoft

  • Data is presented without interfering others (IT or other dept).
  • Data is managed properly and is available for retrievable any time.
  • Legacy use of CD/DVD and Pendrive are not required.
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IBM

  • Jobs with Spark, Hadoop, or Hive queries are rapidly attained
  • Can collect, organize and analyze your data accurately
  • You can customize, for example, Spark or Hadoop configuration settings, or Python, R, Scala, or Java libraries.
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Cons

Microsoft

  • The only problem I have come across is when loading large volumes of data I sometimes get an error message, I assume this means something is corrupt from within. I would love a way for this to be resolved without having to start over.
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IBM

  • Easier pricing and plug-and-play like you see with AWS and Azure, it would be nice from a budgeting and billing standpoint, as well as better support for the administration.
  • Bundling of the Cloud Object Storage should be included with the Analytics Engine.
  • The inability to add your own Hadoop stack components has made some transfers a little more complex.
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Pricing Details

Azure HDInsight

Starting Price

Editions & Modules

Azure HDInsight editions and modules pricing
EditionModules

Footnotes

    Offerings

    Free Trial
    Free/Freemium Version
    Premium Consulting/Integration Services

    Entry-level set up fee?

    No setup fee

    Additional Details

    IBM Analytics Engine

    Starting Price

    Editions & Modules

    IBM Analytics Engine editions and modules pricing
    EditionModules

    Footnotes

      Offerings

      Free Trial
      Free/Freemium Version
      Premium Consulting/Integration Services

      Entry-level set up fee?

      No setup fee

      Additional Details

      Usability

      Microsoft

      Azure HDInsight is usable on the top of Azure Data Lake and gives us the benefit of analyzing large scale data workload in Hadoop. Usability and support from Microsoft are outstanding.
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      IBM

      No answers on this topic

      Support Rating

      Microsoft

      I highly recommend it.
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      IBM

      No answers on this topic

      Alternatives Considered

      Microsoft

      At this time I have not used any other similar products... I am open to it but Azure HDInsight and its components really work well for our organization.
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      IBM

      We initially wanted to go with Google BigQuery, mainly for the name recognition. However, the pricing and support structure led us to seek alternatives, which pointed us to IBM. Apache Spark was also in the running, but here IBM's domination in the industry made the choice a no-brainer. As previously stated, the support received was not quite what we expected, but was adequate.
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      Return on Investment

      Microsoft

      • Less implementation cost.
      • No hosting services cost.
      • Faster data retrieval.
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      IBM

      • This product has allowed us to gather analytics data across multiple platforms so we can view and analyze the data from different workflows, all in one place.
      • IBM Analytics has allowed us to scale on demand which allows us to capture more and more data, thus increasing our ROI.
      • The convenience of the ability to access and administer the product via multiple interfaces has allowed our administrators to ensure that the application is making a positive ROI for our business users and partners.
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