GridGain Professional Edition 2.0 was released today. The new release, a fully supported version of Apache Ignite 2.0, includes new functionality that significantly improves performance and simplifies the integration requirements for use cases where distributed, in-memory computing can dramatically improve the speed and scalability of data-intensive applications.
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- A redesigned off-heap memory architecture that extends support beyond RAM to now include solid-state drives (SSDs) and flash memory, and helps eliminate noticeable Java garbage collection (GC) pauses.
- Support for Data Definition Language (DDL) within the SQL Grid, support for the Spring Data API, enhanced .NET and C++ functionality, and more.
“The new features in GridGain Professional Edition 2.0 support our vision for an easy to use, memory-first approach to computing,” said GridGain Systems president and CEO Abe Kleinfeld.
“The redesigned GridGain Professional Edition 2.0 off-heap memory architecture seamlessly extends RAM with support for SSD and flash memory-based systems. This enables users to deploy a tiered-memory architecture that better balances performance and cost for latency-sensitive applications, he added.
“The addition of DDL support further strengthens our unique ANSI SQL-99 capabilities, making the product easier to use for professionals accustomed to interacting with databases using standard SQL commands. The Professional Edition also features an easy deployment package, professional support and timely bug fixes, making it the solution of choice for organizations looking to accelerate and scale their data-intensive applications with in-memory computing.”
A closer look at what’s new
Redesigned Off-Heap Memory Architecture
The off-heap memory architecture has been complexly redesigned in GridGain Professional Edition 2.0, extending it 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. GridGain Professional Edition 2.0 also automatically handles data defragmentation on the fly and removes any noticeable GC pauses.
Support for Data Definition Language
GridGain Professional Edition 2.0 adds support for Data Definition Language (DDL) to its built-in SQL Grid. Administrators can now define and alter indexes during runtime without the need to restart the cluster. This capability is accessed using standard SQL commands, such as CREATE or DROP. 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.
Spring Data Integration
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.
Ignite.NET Plugin for Third-Party Integration
Ignite.NET now features a plugin system that enables integration with third-party solutions. The plugin system makes it possible to extend the default Ignite.NET API by customizing the API or adding new, more advanced capabilities.
Ignite.C++ Logic Execution on Remote Nodes
Ignite.C++ now includes the ability to execute custom C++ code on remote Ignite nodes. C++ developers need not switch to Java if they want to filter out some updates on GridGain data nodes. They can now do it directly from C++.
Support for Hibernate 5
With Hibernate L2 cache integration, GridGain Professional Edition 2.0 now supports Hibernate 5.
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