Fast Data Drives Real-Time Insights Into Big Data

GridGain In-Memory Computing Can Transform Big Data Into Fast Data

"Fast Data" means realizing real-time insights from Big Data. In-memory computing can power the transformation of Big Data into Fast Data.

Many organizations generate Big Data which flows into vast data lakes, but struggle with the reality that gaining insights from that data is expensive and slow. In-memory computing platforms such as the GridGain In-Memory Data Fabric offer data grid and compute grids within a distributed cluster of server nodes. Big Data can be loaded into the GridGain in-memory computing platform where queries can run at in-memory speeds. ANSI SQL-99 support provides fast queries on the indexed data. Queries that previously took hours can be reduced to seconds with the 1,000x to 1,000,000x speed improvement delivered by in-memory computing versus disk-based data storage. The in-memory computing cluster can be scaled out by adding more nodes to the cluster. Massive parallel processing can unleash the power of the CPUs in the cluster to speed analytics.

The GridGain In-Memory Accelerator for Hadoop can be added to your existing Hadoop deployment in under 10 minutes to accelerate your Hadoop queries. The software is available for a free 30-day trial on our GridGain Downloads page.

Combine Big Data with Fast Data using the power of the GridGain in-memory computing platform to gain real-time insights from your organization's valuable data.