GridGain Adds TensorFlow Integration in Latest Round of Updates

GridGain Systems, provider of enterprise-grade in-memory computing solutions, is releasing GridGain Professional Edition 2.7, a fully supported version of Apache Ignite 2.7.

GridGain Professional Edition 2.7 introduces TensorFlow integration for enhanced training of deep learning (DL) models. The update also provides enhanced usability, including expanded support for thin clients, as well as Transparent Data Encryption at rest to improve security.

Together, the features make it easier to use the GridGain In-Memory Computing Platform for more use cases, such as for achieving the speed and scalability required for implementing real-time continuous learning for digital transformation and omnichannel customer experience initiatives.  

GridGain Professional Edition 2.7 also includes new preprocessing APIs and additional machine learning (ML) algorithms. These algorithms make it easier for organizations to apply the power of GridGain in-memory computing capabilities to more ML use cases such as credit card fraud detection, mortgage approvals, or ecommerce product recommendations.

Also offered in this update is expanded support for thin clients with support for new languages, including Python, Node.JS, PHP, C++, .NET and Java. Support for these thin clients makes it easier for users accustomed to programming in one of these languages to use their preferred language when coding for GridGain.

New enhancements also include Transparent Data Encryption at rest. Encryption is applied to the data stored in the GridGain Persistent Store, so even if a cybercriminal were to breach a GridGain cluster, they could not see the data in plain text.

“The latest release of GridGain Professional Edition makes it easier to leverage deep learning via TensorFlow,” said Terry Erisman, vice president of marketing for GridGain Systems. “GridGain is also now easier to implement and secure, allowing users to leverage in-memory computing for the high performance and massive scalability they need to deliver on their digital transformation and omnichannel customer experience initiatives.”

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