Confirmed Structure Bolstered for Resiliency, Scalability, and Efficiency;
Ensures Unprecedented Pace and Scale for AI Workloads
GridGain® introduced model 9 of the GridGain Unified Actual-Time Information Platform. Constructing on the confirmed multi-dimensional knowledge processing and analytics capabilities of model 8, GridGain 9 delivers essentially the most steady, resilient, and high-performant resolution for ultra-low latency knowledge functions, powering the acute pace, scale, sturdiness and reliability important to trendy enterprise use circumstances and AI.
Based on Gartner®, “Information & Analytics groups proceed to be challenged to design, deploy and handle an ecosystem of expertise selections that’s supported by a resilient and scalable technical structure.”[1]
That is extra true right now than ever earlier than. The explosion in real-time, data-intensive use circumstances – together with using GenAI – for improved buyer experiences, higher operational effectivity, and correct decision-making, has put a deal with fast and dependable knowledge availability and accessibility throughout the enterprise.
With enhanced assist for a number of knowledge codecs, fashions, and shops, together with cloud knowledge lakehouses, GridGain makes enterprise-wide knowledge out there for processing in actual time, a key prerequisite for any AI-based initiative. GridGain 9 delivers the architectural resiliency and scalability essential to energy the info infrastructure basis for large-scale, real-time knowledge processing, AI and analytics functions.
“AI has proven the promise to ship dramatic social and technological advantages. However it would by no means attain its full potential if companies are unable to realize the real-time insights, automations, and buyer experiences they want,” mentioned GridGain CEO, Eoin O’ Connor. “We’ve persistently advanced the GridGain platform to remain forward of our clients’ knowledge necessities, and we’ve once more invested in reinforcing our resolution to make it much more resilient and high-performant. The result’s GridGain 9, a extra highly effective platform that may make it quicker and simpler to ship new options, enhancements, and scalability to assist trendy software and AI use circumstances.”
Key Enhancements in GridGain 9
- Dynamic, on-demand scaling: GridGain 9 introduces new platform options, permitting customers to scale its versatile in-memory and on-disk storage and processing capability simply. GridGain’s industry-leading capabilities round dynamic scaling remove any impression on the general system efficiency, even when customers want to prolong their GridGain clusters to the cloud.
- Enhanced efficiency:GridGain 9 boosts effectivity by enhancing parallel, concurrent knowledge processing and using memory-centric storage engines tailor-made to the precise wants of varied workloads, together with analytics and AI.
- Stronger knowledge integrity and consistency: With a extra sturdy transaction administration and consistency mannequin for knowledge – even in full SQL mode – GridGain 9 provides enterprises basic RDBMS capabilities with in-memory efficiency, making it simpler to speed up legacy functions and workloads.
- Improved developer expertise: Intuitive and less complicated APIs, improved cluster configuration, and devOps capabilities make it even simpler for builders and DevOps engineers to construct and handle extremely scalable data-intensive functions utilizing GridGain.
Further Assets
[1] Gartner, Market Information for AI and Information and Analytics Service Suppliers, Frances Karamouzis, Shubhangi Vashisth, Afraz Jaffri, 24 Might 2023.
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