The insideAI News IMPACT 50 List for Q4 2024

The team here at insideAI News is deeply entrenched in keeping the pulse of the big data ecosystem of companies from around the globe. We’re in close contact with the movers and shakers making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled each day with new announcements, commentaries, and insights about what’s driving the success of our industry so we’re in a unique position to publish our quarterly IMPACT 50 List.

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

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.

The insideAI News IMPACT 50 List for Q3 2023

The team here at insideAI News is deeply entrenched in keeping the pulse of the big data ecosystem of companies from around the globe. We’re in close contact with the movers and shakers making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled each day with new announcements, commentaries, and insights about what’s driving the success of our industry so we’re in a unique position to publish our quarterly IMPACT 50 List.

GridGain 8.8 Advances Its Multi-Tier Database Engine to Scale Beyond Available Memory Capacity and Meet Growing Customer Demand

GridGain® Systems, provider of enterprise-grade in-memory computing solutions powered by the Apache® Ignite® distributed database, announced GridGain 8.8, the latest release of the company’s in-memory computing platform. The release features enhanced support for GridGain’s multi-tier database engine, which scales up and out across memory and disk.

Powering Digital Transformation with In-Memory Computing and Open Source Software

In this special guest feature, Abe Kleinfeld, president & CEO of GridGain, looks at the rise of in-memory computing as the critical computing platform sitting at the nexus of several key computing trends that have converged in recent years, from big data to IoT and real-time analytics, in-memory computing has emerged as the lynch pin for those computing initiatives.

GridGain Systems Introduces Next-Generation In-Memory Computing Platform

GridGain Systems, provider of enterprise-grade in-memory computing platform solutions based on Apache® Ignite™, today announced GridGain 8.1. The solution expands the bounds of in-memory computing with a new memory-centric architecture, which leverages ongoing advancements in memory and storage technologies to provide distributed in-memory computing performance with the cost and durability of disk storage.

GridGain Professional Edition 1.9 Improves Performance, Adds Kubernetes® Support

GridGain Systems, provider of enterprise-grade in-memory computing platform solutions based on Apache® Ignite™, announced the availability of GridGain Professional Edition 1.9, a fully supported version of Apache Ignite 1.9. GridGain Professional Edition 1.9 includes improved performance and automated benchmarking, Kubernetes® support for deploying containerized Ignite clusters, expanded support for data manipulation language (DML), and more.

GridGain Professional Edition 1.8 Adds In-Memory SQL Grid to In-Memory Computing Platform

GridGain Systems, provider of enterprise-grade in-memory computing solutions based on Apache® Ignite™, announced the availability of GridGain Professional Edition 1.8, a fully supported version of Apache Ignite 1.8. GridGain Professional Edition 1.8 includes an In-Memory SQL Grid, which extends the platform by providing in-memory distributed database capabilities. The In-Memory SQL Grid will help users dramatically speed up and scale out their SQL applications with minimal or no code changes.

The GridGain In-Memory Data Grid

In this special technology white paper, The GridGain In-Memory Data Grid, you’ll learn that with the cost of system memory dropping 30% every 12 months, in-memory computing has become the first choice for a variety of workloads across all industries. In-memory computing can provide a lower TCO for data processing systems while providing an unparalleled performance advantage.

High-Performance Data Architectures for the Internet of Things

In this special technology white paper, High-Performance Data Architectures for the Internet of Things, you’ll discover how Lambda architectures can provide the capabilities required to create hybrid transactional/analytical platforms (HTAP) that are capable of providing real-time insights into the massive amount of streaming data to power useful actions at the device level.