GridGain
In-memory computing platform built on Apache Ignite
About GridGain
GridGain provides an in-memory data and computing platform based on Apache Ignite for low-latency transactional, analytical and AI workloads. It is used by enterprises, especially in financial services, needing high-throughput processing.
Common use cases
- Real-time transaction processing
- Data acceleration for applications
- Low-latency analytics
Products and services
GridGain Platform
In-memory data grid and computing platform.
GridGain Control Center
Management and monitoring tooling.
Key features
- In-memory data grid
- SQL and key-value access
- Low-latency processing
- Distributed compute
- Persistence
- Vector search
Integrations
- Apache Kafka
- Apache Spark
- Hadoop
GridGain alternatives
FAQs
What is it based on?
Apache Ignite.
Where can it run?
On-premises, in the cloud or hybrid.
How is it priced?
Enterprise subscription.
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