GigaSpaces Technologies, a data scalability and next-generation application platforms for mission-critical applications, announces the launch of XAP9.0. At the core of the latest release of the GigaSpaces platform is its ability to quickly launch a high-performance real-time analytics system for applications processing massive data sets, quickly and easily.
Major social networking platforms like Facebook and Twitter have developed their own architectures for handling the need for real-time analytics on huge amounts of data. However, not every company has the need or resources to build their own Twitter-like solution. This is where XAP 9.0 comes in. With the GigaSpaces real-time analytics solution for Big Data, there is no need to reinvent the wheel – GigaSpaces has taken the same Twitter/Facebook-like blueprint, and made it simple enough for developers to implement a Big Data analytics system in a matter of days, or even less. GigaSpaces XAP has a long record of providing elastic real-time processing, and in version 9.0 these capabilities have been honed to specifically meet today’s challenges to real-time analytics for Big Data.
“In today’s business world there is an increased – even dire – need for real-time insights, especially for large-scale location-aware mobile, social, and financial/risk analysis applications. This is clearly evidenced by the launch real-time analytics platforms by Facebook, Google, and Twitter this past year,” says Adi Paz, GigaSpaces EVP of Marketing & Business Development. “What is common to all real-time analytics systems is the need for streaming data processing, alongside batch processing, such as Hadoop provides. However, building a system for Big Data apps is complicated – it must maintain reliability, scalability, and performance even at immensely large scales of data. XAP 9.0 was specifically designed to resolve these challenges.”