Introducing the GridGain In-Memory Computing Platform
Discover how the GridGain In-Memory Computing Platform—built on Apache Ignite—enables organizations to deliver lightning-fast transactions, real-time analytics, and continuous learning at scale.
- Real-time speed and horizontal scalability
- Hybrid transactional and analytical processing (HTAP)
- ANSI SQL and ACID transaction support
- Seamless integration with RDBMS, NoSQL, Hadoop
- Real-time streaming analytics and machine learning
- Enterprise-grade security, backups, and monitoring
About this white paper
As enterprises embrace digital transformation, traditional databases often struggle to keep pace with the massive growth in data, users, and real-time processing demands.
GridGain bridges this gap by delivering an in-memory computing platform that dramatically increases application speed, scalability, and responsiveness. By processing data in memory instead of on disk, GridGain enables sub-second performance for transactions, analytics, and hybrid workloads (HTAP).
Its distributed architecture scales effortlessly across clusters and integrates seamlessly with existing databases—eliminating the need for costly infrastructure changes or downtime.
With built-in support for real-time streaming, AI, and continuous learning, GridGain helps organizations create intelligent, data-driven applications that power instant decision-making, enhance customer experiences, and unlock new business opportunities—all with enterprise-grade reliability and security.
GridGain brings in-memory speed and unlimited scalability to transactions, analytics, and streaming workloads—helping enterprises turn real-time data into real-time action.
Introducing the GridGain In-Memory Computing Platform
Accelerate data and analytics with GridGain—the in-memory computing platform that delivers real-time speed, scalability, and seamless integration.
Get the full white paper