Reinforcement mesh® announced GridGain Unified Real-Time Data Platform version 9. Building on the proven multidimensional data processing and analytics capabilities of version 8, GridGain 9 delivers the most stable, resilient, and high-performance solution for ultra-low latency data applications, delivering the extreme speed, scale, durability, and reliability that are critical for contemporary enterprise and AI employ cases.
This is more true today than ever before. The explosion of real-time, data-intensive employ cases – including the employ of GenAI – to improve customer experiences, drive operational efficiency, and inform decision-making has placed a premium on immediate and reliable data availability and accessibility across the enterprise.
With improved support for multiple data formats, models, and stores, including cloud data houses, GridGain makes data available across the enterprise for real-time processing, a key prerequisite for any AI-driven initiative. GridGain 9 delivers the architectural resiliency and scalability needed to power the foundation of a data infrastructure for large-scale, real-time data processing, AI, and analytics applications.
Key Improvements in GridGain 9
- Active scaling on demand: GridGain 9 introduces novel platform features, allowing users to easily scale elastic storage, disk storage, and processing capacity. GridGain’s industry-leading active scaling capabilities eliminate any impact on overall system performance, even as users expand their GridGain clusters to the cloud.
- Enhance efficiency:GridGain 9 increases performance by enhancing parallel, concurrent data processing and leveraging memory-centric storage engines tailored to the specific needs of different workloads, including analytics and AI.
- Greater data integrity and consistency: With more strong transaction management and data consistency model (even in full SQL mode), GridGain 9 gives enterprises classic RDBMS capabilities with in-memory performance, helping to accelerate legacy applications and workloads.
- Improved development environment: Intuitive and simpler APIs, improved cluster configuration, and DevOps capabilities make it easier for developers and DevOps engineers to build and manage highly scalable data-intensive applications using GridGain.
Additional resources
[1] Gartner, AI, Data and Analytics Vendor Market Guide, Frances Karamouzis, Shubhangi Vashisth, Afraz Jaffri, May 24, 2023