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GridGain Builds on its Promise to Help Enterprises Accelerate AI-Driven Data Processing with its Unified Real-Time Data Platform


GridGain is releasing version 9 of the GridGain Unified Real-Time Data Platform, building on the multi-dimensional data processing and analytics capabilities of version 8 to deliver the most stable, resilient, and high-performant solution for ultra-low latency data applications. Version 9 powers the extreme speed, scale, durability, and reliability critical to modern enterprise use cases and AI, according to the company.

With enhanced support for multiple data formats, models, and stores, including cloud data lakehouses, GridGain makes enterprise-wide data available for processing in real time, a key prerequisite for any AI-based initiative, the company said.

GridGain 9 delivers the architectural resiliency and scalability necessary to power the data infrastructure foundation for large-scale, real-time data processing, AI and analytics applications.

"AI has shown the promise to deliver dramatic social and technological benefits. But it will never reach its full potential if businesses are unable to achieve the real-time insights, automations, and customer experiences they need," said GridGain CEO, Eoin O' Connor. "We have consistently evolved the GridGain platform to stay ahead of our customers' data requirements, and we have again invested in reinforcing our solution to make it even more resilient and high-performant. The result is GridGain 9, a more powerful platform that will make it faster and easier to deliver new features, enhancements, and scalability to support modern application and AI use cases."

Key enhancements in GridGain 9 include:

  • Dynamic, on-demand scaling: GridGain 9 introduces new platform features, allowing users to scale its flexible in-memory and on-disk storage and processing capacity easily.
  • Enhanced performance: GridGain 9 boosts efficiency by enhancing parallel, concurrent data processing and utilizing memory-centric storage engines tailored to the specific needs of various workloads, including analytics and AI.
  • Stronger data integrity and consistency: With a more robust transaction management and consistency model for data—even in full SQL mode—GridGain 9 gives enterprises classic RDBMS capabilities with in-memory performance, making it easier to accelerate legacy applications and workloads.
  • Improved developer experience: Intuitive and simpler APIs, improved cluster configuration, and DevOps capabilities make it even easier for developers and DevOps engineers to build and manage highly scalable data-intensive applications using GridGain.

GridGain Platform v9.0 is available now.

For more information about this news, visit www.gridgain.com.


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