Fast and intuitive in-memory computing platform for live, operational data streams
Beyond just serving as a fast, scalable repository for live data, in-memory data grids (IMDGs) provide the foundation for real-time analytics. By harnessing the scalable computing power of the server clusters on which they run, IMDGs enable large, in-memory data sets to be analyzed in parallel, delivering immediate results and important feedback to live systems. While they can serve distributed queries to select data of interest for client applications, their real power lies in the ability to host data-parallel computations within the grid — moving computing to where the data lives — to deliver blazing performance and eliminate bottlenecks to scalability.
Operational intelligence uses the power of in-memory computing to track fast-changing data within live systems, analyze them in parallel, and then provide immediate insights and actionable feedback — with far-reaching benefits.
Avoid the complexity and performance bottlenecks of conventional stream and event processing systems. With its ability to move computing to where the data lives, in-memory computing introduces the next-generation architecture for streaming analytics.