# 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.com/developer/use-cases/data-grid): In-memory data grid use case and implementation overview. - [Distributed In-Memory Database Architecture](https://www.gridgain.com/developer/use-cases/database): In-memory database use case and capabilities. - [Digital Integration Hub Fundamentals](https://www.gridgain.com/resources/glossary/digital-integration-hub): Digital integration hub concept and GridGain role in DIH architectures. - [Digital Integration Hub Implementation Guide](https://www.gridgain.com/resources/papers/digital-integration-hub): Application note on digital integration hub architecture. - [High-Performance Computing Fundamentals](https://www.gridgain.com/resources/glossary/high-performance-computing): High-performance computing glossary entry. - [Real-Time Analytics & HTAP](https://www.gridgain.com/resources/solutions/application-performance/real-time-analytics): Real-time analytics overview and HTAP use case. ## Industries and Solutions - [Industry Solutions Overview](https://www.gridgain.com/experience/industries): Industry overview for GridGain use cases across financial services, telecommunications, retail, transportation, and more. - [Software & SaaS Solutions](https://www.gridgain.com/experience/industries/software-and-saas): In-memory computing use cases for software and SaaS companies. - [Customer Stories](https://www.gridgain.com/solutions/customers): Featured customer stories and solution outcomes. - [Case Studies](https://www.gridgain.com/experience/case-studies): Customer case studies across major enterprise use cases. ## Resources - [Resource Center](https://www.gridgain.com/resources): Central hub for technical resources, white papers, and guides. - [Blog](https://www.gridgain.com/resources/blog): GridGain blog with technical articles, product guidance, and industry analysis. - [Developer Learning Hub](https://www.gridgain.com/developer/learn): Learning hub with documentation, webinars, white papers, forums, and meetups. - [In-Memory Computing White Paper](https://www.gridgain.com/resources/papers/introducing-gridgain-in-memory-computing-platform): White paper introducing GridGain's in-memory computing platform. ## Training and Services - [Services Overview](https://www.gridgain.com/services/overview): Services overview including training and certification. - [Apache Ignite Training](https://www.gridgain.com/services/gridgain-apache-ignite-training): Training program for GridGain and Apache Ignite users. - [Administrator Training](https://www.gridgain.com/products/services/training/gridgain-administrator-training): Administrator training course for GridGain operations. ## Company - [Home](https://www.gridgain.com/): GridGain homepage and product entry point. - [About GridGain](https://www.gridgain.com/company/about): Company overview and background. - [Open Source Foundations](https://www.gridgain.com/company/foundations): Foundations and open source ecosystem support. - [Partners](https://www.gridgain.com/company/partners): Partner ecosystem overview. - [Contact GridGain](https://www.gridgain.com/contact): Contact information.