GridGain Upgrades Its Live-Action Big Data Processing Platform
Newcomer GridGain Systems makes a Java-based open-source middleware platform for processing big data workloads in memory and in real time.Apache Hadoop, Cassandra and others are getting a lot of attention as batch data analytics tools as enterprises become more aware of them. And they certainly can handle huge amounts of data that are becoming all too common. But the data on which they operate cannot be in a live production environment; it all has to be completely offline for the analytics applications to work.
Enter newcomer GridGain Systems, which makes a Java-based open-source middleware platform for processing big data workloads in memory and in real time. The Foster City, Calif.-based company on March 26 launched version 4.0 of its homegrown software platform.
- Big Data Anywhere capabilities with native lightweight clients for Java, .NET, Python, PHP and C++ as well as native clients for the two largest mobility platforms, iOS and Android.
- Native language support for Java, Scala and Groovy programming languages.
- An easy-to-use monitoring and management console for large-scale grid topologies, with both a scriptable command-line-based interface and a GUI-based console.
- GridGain CloudBoot for efficient deployment and provisioning of GridGain in public cloud deployments, which will ease deployments for cloud service providers such as Rackspace OpenStack, Amazon Elastic Compute Cloud (EC2) and Microsoft Azure.
- Enterprise-grade security with a comprehensive security model for node discovery and grid clients. The new solution also includes passcode-based security, Java Authentication and Authorization Service-based (JAAS-based) security, as well as secure session support.