What users are saying about
3 Ratings
3 Ratings
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Score 9 out of 100
38 Ratings
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Score 9.1 out of 100

Feature Set Ratings

    BI Standard Reporting

    7.5

    datapine

    75%

    IBM Analytics Engine

    Feature Set Not Supported
    N/A
    datapine ranks higher in 2/2 features

    Pixel Perfect reports

    7.0
    70%
    2 Ratings
    N/A
    0 Ratings

    Customizable dashboards

    8.0
    80%
    2 Ratings
    N/A
    0 Ratings

    Ad-hoc Reporting

    9.3

    datapine

    93%

    IBM Analytics Engine

    Feature Set Not Supported
    N/A
    datapine ranks higher in 3/3 features

    Drill-down analysis

    9.0
    90%
    2 Ratings
    N/A
    0 Ratings

    Formatting capabilities

    9.0
    90%
    2 Ratings
    N/A
    0 Ratings

    Report sharing and collaboration

    10.0
    100%
    2 Ratings
    N/A
    0 Ratings

    Report Output and Scheduling

    9.0

    datapine

    90%

    IBM Analytics Engine

    Feature Set Not Supported
    N/A
    datapine ranks higher in 4/4 features

    Publish to Web

    10.0
    100%
    2 Ratings
    N/A
    0 Ratings

    Publish to PDF

    8.0
    80%
    2 Ratings
    N/A
    0 Ratings

    Report Versioning

    10.0
    100%
    2 Ratings
    N/A
    0 Ratings

    Report Delivery Scheduling

    8.0
    80%
    2 Ratings
    N/A
    0 Ratings

    Data Discovery and Visualization

    9.3

    datapine

    93%

    IBM Analytics Engine

    Feature Set Not Supported
    N/A
    datapine ranks higher in 3/3 features

    Pre-built visualization formats (heatmaps, scatter plots etc.)

    10.0
    100%
    2 Ratings
    N/A
    0 Ratings

    Location Analytics / Geographic Visualization

    8.0
    80%
    2 Ratings
    N/A
    0 Ratings

    Predictive Analytics

    10.0
    100%
    2 Ratings
    N/A
    0 Ratings

    Access Control and Security

    9.3

    datapine

    93%

    IBM Analytics Engine

    Feature Set Not Supported
    N/A
    datapine ranks higher in 3/3 features

    Multi-User Support (named login)

    10.0
    100%
    2 Ratings
    N/A
    0 Ratings

    Role-Based Security Model

    10.0
    100%
    2 Ratings
    N/A
    0 Ratings

    Multiple Access Permission Levels (Create, Read, Delete)

    8.0
    80%
    2 Ratings
    N/A
    0 Ratings

    Mobile Capabilities

    8.5

    datapine

    85%

    IBM Analytics Engine

    Feature Set Not Supported
    N/A
    datapine ranks higher in 2/2 features

    Responsive Design for Web Access

    9.0
    90%
    2 Ratings
    N/A
    0 Ratings

    Dashboard / Report / Visualization Interactivity on Mobile

    8.0
    80%
    2 Ratings
    N/A
    0 Ratings

    Attribute Ratings

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

    Likelihood to Recommend

    9.0

    datapine

    90%
    2 Ratings
    9.4

    IBM Analytics Engine

    94%
    9 Ratings

    Usability

    10.0

    datapine

    100%
    1 Rating

    IBM Analytics Engine

    N/A
    0 Ratings

    Support Rating

    8.0

    datapine

    80%
    1 Rating

    IBM Analytics Engine

    N/A
    0 Ratings

    Likelihood to Recommend

    datapine

    Our team wanted a software that can handle our data in a cloud setting and connect our data sources easily. The values that we got from Datapine cannot be compared with other any other tools Because datapine always focus on the best possible user experience and can certainly compete with other, even bigger softwares in the market.
    Read full review

    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.
    Read full review

    Pros

    datapine

    • Intuitive user interface, especially within the analyzer (drag & drop).
    • Dashboard templates helped to create visually appealing dashboards.
    • Many different reporting options.
    • Customer support is really helpful.
    Read full review

    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.
    Read full review

    Cons

    datapine

    • Some advanced functions need SQL knowledge.
    Read full review

    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.
    Read full review

    Pricing Details

    datapine

    Starting Price

    $249 per installation

    Editions & Modules

    datapine editions and modules pricing
    EditionModules
    datapine Server9991
    Basic2492
    Professional4993
    Premium7694

    Footnotes

    1. per installation
    2. per installation
    3. per installation
    4. per installation

    Offerings

    Free Trial
    Free/Freemium Version
    Premium Consulting/Integration Services

    Entry-level set up fee?

    Optional $2,000

    Additional Details

    Prices are per month.

    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

      datapine

      With the help of Datapine i can easily share and send my all reports at a specific time and without any worry about the updates or accuracy of information. The tool is really one of the best tool available in the market.
      Read full review

      IBM

      No answers on this topic

      Support Rating

      datapine

      24×7 support is available in Datapine software. They are always there to provide you every kind of support from their side.
      Read full review

      IBM

      No answers on this topic

      Alternatives Considered

      datapine

      No answers on this topic

      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.
      Read full review

      Return on Investment

      datapine

      No answers on this topic

      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.
      Read full review

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