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GridGain Advances Its Unified Real-Time Data Platform to Help Enterprises Accelerate AI-Driven Data Processing

GridGain

GridGain announced version 9 of the GridGain Unified Real-Time Data Platform. Building on the proven multi-dimensional data processing and analytics capabilities of version 8, GridGain 9 delivers the most stable, resilient, and high-performant solution for ultra-low latency data applications, powering the extreme speed, scale, durability and reliability critical to modern enterprise use cases and AI.

According to Gartner®, “Data & Analytics teams continue to be challenged to design, deploy and manage an ecosystem of technology choices that is supported by a resilient and scalable technical architecture.”1

This is more true today than ever before. The explosion in real-time, data-intensive use cases – including the use of GenAI – for improved customer experiences, greater operational efficiency, and accurate decision-making, has put a focus on immediate and reliable data availability and accessibility across the enterprise.

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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. 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.”

SOURCE: Businesswire