Common Use Cases for In-Memory Computing Platforms
GridGain is most commonly used to power two common use cases. The GridGain in-memory computing platform can be deployed as an in-memory data grid or an in-memory database. GridGain includes powerful ANSI-99 SQL and ACID transaction support as well as advanced streaming and machine and deep learning capabilities. As an in-memory data grid or in-memory database, GridGain powers:
- Digital Integration Hubs
- Application Performance Speed and Scalability Improvements
Application performance improvements can provide in-memory speeds and massive scalability to individual applications, often used to improve the performance of SaaS applications or internal line of business applications.
Digital integration hubs enable companies to create a high performance data access layer which allows one or many applications to access data from one or many data sources such as transactional databases, data lakes, data warehouses or streaming data sources.
To learn more about these use cases, please visit the white papers and webinars sections of our websites.