“While Java dramatically simplifies application development, it comes at the cost of ‘stop the world’ garbage collection that has prevented the adoption of the Java software stack for very low-latency use cases. The combined solution of GridGain’s in-memory computing platform and the Azul Zing JVM eliminates garbage collection pauses, enabling, for example, processing thousands of financial transactions per second in the low milliseconds range while scaling to petabytes of data.”
GridGain founder and CTO
GridGain Systems is revolutionizing real-time data access and processing by offering an in-memory computing platform built on Apache Ignite. GridGain solutions are used by global enterprises in financial services, software, e-commerce, retail, online business services, healthcare, telecom, transportation and other major sectors, with a client list that includes ING, Raymond James, American Express, Societe Generale, Finastra, IHS Markit, ServiceNow, Marketo, RingCentral, American Airlines, Agilent, and UnitedHealthcare.
GridGain delivers unprecedented speed and massive scalability to both legacy and greenfield applications. Deployed on a distributed cluster of commodity servers, GridGain software can reside between the application and data layers (RDBMS, NoSQL, and Apache™ Hadoop®), requiring no rip-and-replace of the existing databases, or it can be deployed as an in-memory database. GridGain is the most comprehensive in-memory computing platform for high-volume ACID transactions, real-time analytics, web-scale applications, continuous learning and hybrid transactional/analytical processing (HTAP). For more information, visit gridgain.com.