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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.

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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

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https://www.gridgain.com/llms.txt
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Data and analytics · Databases
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2026-10-19T10:41:00.495Z
Last checked
2026-10-19T17:38:42.158Z
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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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