Increasingly, big data management is being handled by a variety of tools, a sort of ‘polyglot‘ or ‘hybrid data ecosystem‘ approach. Rather than being restricted to using a single tool like Hadoop, a hybrid data ecosystem uses tool sets from Business Intelligence, Graph Tools and Visual Analytics.
James Taylor, CEO of Decision Management Solutions, said that “companies face an increasingly complex future where multiple analytic tools and multiple data platforms are the norm.”
, vice president at Enterprise Management Associates, said that
“we’re currently experiencing a confluence of paradigm shifts that are driven by a maturing data consumer community, new technologies for data management and data processing, changes in the economics of data management platforms, and unprecedented volumes of valuable new data types. These trends are driving us toward a hybrid data ecosystem
, which is essentially an integrated environment consisting of different types of data management platforms and tools, ranging from traditional databases and data appliances to columnar databases, NoSQL databases, and Hadoop. Modern organizations need this diversity of platforms so they can match the growing number of data workloads to platforms that are optimized for such workloads. Otherwise, technical users are frustrated as they attempt to manage and process data in new ways—for advanced analytics, broader 360-degree views, real-time reactions to streaming data, lower TCO—with platforms that weren’t designed for these new requirements. In short, getting full business value and technical efficiency from new big data opportunities demands a hybrid data ecosystem.”