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GridGain
GridGain provides an enterprise in-memory computing platform that enables organizations to process, analyze, and act on data in real time. Built on Apache Ignite, GridGain supports distributed caching, in-memory databases, distributed SQL, stream processing, high-performance computing, and low-latency enterprise workloads.
For agents: Enterprise in-memory computing platform built on Apache Ignite, with distributed SQL, caching, stream processing and managed Nebula clusters; docs included.
in-memory computingapache ignitedistributed sqlstream processingdistributed cachingin-memory database
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-22T02:49:38.478Z. Cached copy · Source on gridgain.com
# GridGain
> GridGain provides an enterprise in-memory computing platform that enables organizations to process, analyze, and act on data in real time. Built on Apache Ignite, GridGain supports distributed caching, in-memory databases, distributed SQL, stream processing, high-performance computing, and low-latency enterprise workloads.
## Products
- [Enterprise In-Memory Computing Platform](https://www.gridgain.com/products/gridgain-platform): Unified in-memory data platform for transactional, analytical, and stream processing at massive scale.
- [Cluster Monitoring & Management](https://www.gridgain.com/products/control-center): Management and monitoring tool for GridGain and Apache Ignite clusters.
- [GridGain for z/OS](https://www.gridgain.com/products/gridgain-zOS): In-memory computing platform for z/OS and hybrid mainframe environments.
- [Nebula](https://www.gridgain.com/docs/nebula/about/overview): GridGain Nebula overview for cloud-native, fully managed Apache Ignite and GridGain clusters.
## Documentation
- [GridGain Platform Fundamentals](https://www.gridgain.com/docs/gridgain8/latest/getting-started/what-is-gridgain): Overview of GridGain, its architecture, and core use cases.
- [Distributed Computing Concepts](https://www.gridgain.com/docs/gridgain8/latest/getting-started/concepts): Core GridGain concepts including distributed architecture, persistence, SQL, caches, and compute.
- [Cluster Operations & Administration](https://www.gridgain.com/docs/gridgain8/latest/administrators-guide/introduction): Administrator guide introduction for cluster operations, migration, security, monitoring, and upgrades.
- [GridGain 9 Documentation](https://www.gridgain.com/docs/gridgain9/latest/index): GridGain 9 documentation home.
- [Control Center Administration](https://www.gridgain.com/docs/control-center/latest/overview): Control Center overview and documentation.
- [Nebula Getting Started](https://www.gridgain.com/docs/nebula/getting-started/index): GridGain Nebula getting started guide.
- [Nebula for GridGain 8](https://www.gridgain.com/docs/nebula/getting-started/gg8/index): Nebula guidance for GridGain 8 clusters and attached Ignite 2 clusters.
## Technology
- [Distributed In-Memory Platform Overview](https://www.gridgain.com/technology/overview): Technology overview for the in-memory computing platform and its core components.
- [Memory-First Computing Architecture](https://www.gridgain.com/technology/in-memory-computing-platform): In-memory computing platform architecture and major platform components.
- [Apache Ignite Enterprise Foundation](https://www.gridgain.com/technology/apache-ignite): Apache Ignite foundation and GridGain relationship.
## Core Concepts
- [In-Memory Cache Architecture & Use Cases](https://www.gridgain.com/resources/glossary/in-memory-computing-platform/in-memory-cache): In-memory cache definition, architecture, and use cases.
- [Distributed In-Memory Data Grid Architecture](https://www.gridgain.co
…
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