by Angela Guess

According to a recent press release, “GridGain Systems, provider of enterprise-grade in-memory computing solutions based on Apache® Ignite™, today announced the immediate availability of GridGain Professional Edition 2.4, a fully supported version of Apache Ignite 2.4. GridGain Professional Edition 2.4 now includes a Continuous Learning Framework, which includes machine learning and a multilayer perceptron (MLP) neural network that enable companies to run machine and deep learning algorithms against their petabyte-scale operational datasets in real-time. Companies can now build and continuously update models at in-memory speeds and with massive horizontal scalability. GridGain Professional Edition 2.4 also enhances the performance of Apache® Spark™ by introducing an API for Apache Spark DataFrames, adding to the existing support for Spark RDDs.”

The release goes on, “GridGain Professional Edition 2.4 now includes the first fully supported release of the Apache Ignite integrated machine learning and multilayer perceptron features, making continuous learning using machine learning and deep learning available directly in GridGain. By optimizing these libraries for massively parallel processing (MPP) against the data residing in the GridGain cluster, large-scale machine learning use cases can be greatly accelerated. Processing data directly in the GridGain cluster enables a continuous learning workflow by eliminating the need to move transactional data into a separate database before model training. The result is real-time model training or even continuous model training with less complexity and substantially lower cost than traditional approaches.”

Read more at Globe Newswire.

Photo credit: GridGain