Web scale applications and the Internet of Things (IoT) share two characteristics: high workloads and massive amounts of data. By moving data from disk to RAM, in-memory computing offers performance that is 1,000x that of disk-based systems. In-memory computing solutions can be massively scaled out by adding commodity nodes to the cluster, supporting petabyte-scale in-memory datasets. Using in-memory computing for web scale applications and the IoT allows users to transition to a Fast Data world. In this emerging world, great end user experiences and real-time big data insights can be driven by the same operational dataset with this new generation of hybrid transactional/analytical processing (HTAP) solutions.
GridGain Systems is at the leading edge of in-memory computing. The GridGain in-memory computing platform allows companies like Sberbank to handle tens of thousands of simultaneous consumer banking connections. IoT solutions from companies like Silver Spring Networks can support and manage millions of smart power meter endpoints. GridGain provides the ACID transactional support needed for financial services applications and ANSI SQL-99 support to analyze real-time data from millions of IoT endpoints. GridGain is installed between the existing application and data layers, without replacing the underlying database. GridGain works with all popular RDBMS, NoSQL and Hadoop® databases.
GridGain is built on Apache® Ignite™, a top level Apache Software Foundation project. Leading companies worldwide use GridGain in-memory computing solutions in the financial services, fintech, software, online services, telecom, logistics, and healthcare industries. You can learn more and download a free 30-day trial of GridGain by visiting gridgain.com.