GridGain Systems, a provider of enterprise-grade in-memory computing platform solutions based on Apache Ignite, has announced the availability of GridGain Professional Edition 2.0, a fully supported version of Apache Ignite 2.0.
The new release includes new functionality to increase performance and simplify the integration requirements for use cases where distributed, in-memory computing can enhance the speed and scalability of data-intensive applications. Key updates include a redesigned off-heap memory architecture, support for Data Definition Language (DDL) within the SQL Grid, and support for the Spring Data API.
GridGain’sredesigned off-heap memory architecture extends beyond RAM to better support SSD and flash memory-based persistence and SQL-based indexing. The new design utilizes a page-based approach with slab memory allocation, which optionally may be mapped to any persistent storage without having to serialize or de-serialize the data. In addition, GridGain Professional Edition 2.0 can handle data defragmentation on the fly and remove any noticeable GC pauses.
With support for DDL added to its built-in SQL Grid, administrators can now define and alter indexes during runtime without the need to restart the cluster. Support for DDL extends the capabilities of the platform’s SQL Grid, increasing the types of applications an organization can accelerate and scale with the leading open source in-memory computing platform.
And, new Spring Data integration makes it possible to easily interact with the GridGain Professional Edition 2.0 cluster using the broadly adopted Spring Data API. Once connected to the GridGain cluster using the Spring Data API, users can execute distributed SQL queries as well as simple CRUD operations.
The new release also provides and enhanced .NET and C++ functionality.
For more information, go to the GridGain Systems website.