Users can now process huge data and scale within the cloud, while simplifying monitoring and management
Virtualisation and cloud infrastructure company VMware has released the new version of its in-memory data platform, vFabric GemFire 7.0, which is claimed to deliver faster and reliable data management capabilities of a traditional database.
With the new release, users can process huge data and scale within the cloud, while providing new tools to simplify monitoring and management.
In addition, it also supports the ability to query between multiple JSON documents as well as across JSON documents and key/value objects, the company said.
vFabric GemFire 7.0 claims to provide faster data access for transactional modern applications, allowing businesses to run applications faster than a traditional database.
The new release is claimed to enable speed with scalability in the cloud, supporting terabytes of data in-memory and enabling high-performance within enterprise production deployments.
VMware’s new in-memory data platform includes enhanced caching and wide area network (WAN) capabilities to support low-latency applications that can scale to support huge data and several users.
The high-speed parallel WAN processing allows customers to scale vFabric GemFire across global sites without compromising speed or performance, while the new graphical dashboard and performance monitoring capabilities offers customers with the visibility across distributed vFabric GemFire environments through a single console.
vFabric GemFire 7.0 features a command line interface (CLI) and new "DataBrowser" functionality that allow customers to view data, make queries and control all aspects of the vFabric GemFire environment.It also includes modern APIs and integration with the Spring framework to accelerate and simplify development.
vFabric GemFire 7.0 includes integration with the Spring Data GemFire project, including documentation and code samples to develop and support scalable, transactional enterprise applications. It also supports the Memcached client protocol.