Fast Data Drives Real-Time Insights Into Big Data

Transform Big Data Into Fast Data Using the GridGain In-Memory Computing Platform

"Fast Data" means realizing real-time insights from rapidly changing 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 then struggle with the reality that gaining insights from that data is expensive and slow. In-memory computing platforms such as GridGain® include an in-memory data grid, an in-memory database, streaming analytics, and a continuous learning framework for machine and deep learning within a distributed cluster of server nodes. The GridGain in-memory computing platform can ingest Big Data and queries can run at in-memory speeds. ACID transaction and ANSI SQL-99 support allow the system to be used as the system of record and enable simple communications through the Unified API. Queries that previously took hours can be reduced to seconds with the 1,000x performance improvement possible with in-memory computing versus disk-based databases. The in-memory computing cluster can be massively scaled out by adding more nodes to the cluster. Massive parallel processing can further unleash the power of the CPUs in the cluster to speed processing.

The GridGain In-Memory Accelerator for Hadoop can be added to your existing Hadoop deployment in under 10 minutes to accelerate Hadoop performance. The software is available for a free 30-day trial on our GridGain software 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 rapidly flowing Big Data.