TrustRadius: an HG Insights company

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Graph Commons

    N/AN/AGraph Commons is a self-service collaborative platform for mapping, analyzing, and sharing data-networks. With its interactive network visualization and analysis tools online, Graph Commons aims to empower people and organizations to harness the intelligence of their networks, by transforming their data into interactive maps and untangling complex relations that impact them. Graph Commons offers an empty canvas to get started mapping a network, whether it's a social network, a supply…

    $15

    per month

    IBM Analytics Engine

    Score7.1 out of 10
    N/AIBM BigInsights is an analytics and data visualization tool leveraging hadoop.N/A
    Pricing
    Graph CommonsIBM Analytics Engine
    Editions & Modules
    Starter
    $0
    Professional
    $15
    per month
    Organization
    $180
    per month Starting from 1 Admin + 3 Explorer seats
    No answers on this topic
    Offerings
    Pricing Offerings
    Graph CommonsIBM Analytics Engine
    Free Trial
    NoNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    YesNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details
    More Pricing Information
    Best Alternatives
    Graph CommonsIBM Analytics Engine
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    User Ratings
    Graph CommonsIBM Analytics Engine
    Likelihood to Recommend
    -
    (0 ratings)
    9.5
    (9 ratings)
    User Testimonials
    Graph CommonsIBM Analytics Engine
    Likelihood to Recommend
    Graph Commons
    No answers on this topic
    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.
    Incentivized
    Read full review
    Pros
    Graph Commons
    No answers on this topic
    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.
    Incentivized
    Read full review
    Cons
    Graph Commons
    No answers on this topic
    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.
    Incentivized
    Read full review
    Alternatives Considered
    Graph Commons
    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.
    Incentivized
    Read full review
    Return on Investment
    Graph Commons
    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.
    Incentivized
    Read full review
    ScreenShots

    Graph Commons Screenshots

    Screenshot of Network of 🦄 Unicorns and 💰InvestorsScreenshot of Analyzing data with visual methods helps to gain insights about complexity. This makes sense of a complex issue by mapping actors and relations across networked organizations, or when investigating intermingled interactions of an ecosystem, or when curating a large archive.Screenshot of While exploring interactive network maps on Graph Commons, users can deep dive into the data.Screenshot of Centrality and clustering are the core network analysis metrics all available in Graph Commons.Screenshot of Two nodes in a network are considered "similar" if they share many common neighbors. When opening the similarity analysis dialogue, it presents options for selecting node types and their particular relationship types to generate a similarity analysis.