Software AG announced today several production-ready updates and improvements for its open source projects that form the core of Terracotta In-Memory Data Management platform, a platform used for boosting performance, scalability, and building real-time applications.

Matthias Braeger, software engineer at CERN, the European Organization for Nuclear Research, said: “We control and monitor technical equipment on a 24/7 basis across the CERN site and rely upon highly scalable, reliable, flexible systems. Therefore, we really appreciate Software AG’s commitment to open source software as it enables us to cluster projects already using Ehcache. Moreover, we can better leverage in-memory data management to derive real-time insights from sensor data to help us manage the technical infrastructure of the Large Hadron Collider (LHC).”

Software AG’s Terracotta helps developers easily leverage in-memory storage for current and emerging data workloads. By holding data in-memory, existing applications can be accelerated so more customers can be served and conventional database storage and license costs saved.

Key extra functionality delivered as part of Terracotta Open Source Kit (4.3) includes:

  • Distributed storage: developers can store data in a distributed, highly fault-tolerant cluster;
  • Off-heap storage: applications can use Terracotta to store data outside of the normal Java heap – several terabytes on each node versus a few gigabytes that Java heap supports;

Manish Devgan, Senior Director of Product Strategy & Management, Software AG noted: “The Terracotta platform, serving as the backbone of Ehcache – the most widely used caching technology in the industry – has been known for many years for standards support and commitment to open source projects. These new contributions deepen that commitment and enhance Terracotta further as being the leading In-Memory Data Management platform.”

Developers can download the source code for Terracotta 4.3 open source kit or become a contributor: Additional information can be found on the Terracotta community Big Data blog: