MariaDB to Acquire GridGain: Architecting the Real-Time Foundation for the Agentic Enterprise>

(BUSINESS WIRE)--MariaDB plc today announced that it has entered into a definitive agreement to acquire GridGain Systems, Inc., the pioneer of in-memory computing and creator of open source Apache Ignite. By merging MariaDB’s AI-ready relational database with GridGain’s scalable, in-memory power, MariaDB is setting a new industry standard: sub-millisecond data infrastructure for the agentic era. Closing the AI Latency Gap As enterprises move beyond passive chatbots toward agentic AI – autonomous systems that reason, plan and execute tasks – they are quickly becoming limited by traditional data architectures. AI agents require real-time access to massive datasets with zero friction. This acquisition bridges that gap by fusing: MariaDB’s reliability: Proven, ACID-compliant transactional integrity for the world’s most sensitive data, with native vector capability and AI support. GridGain’s speed: Extreme-scale and in-memory processing that eliminates the disk-drive tax on performance. “The rise of agentic workloads has placed unprecedented demands on enterprise infrastructure, causing requirements to explode ...(BUSINESS WIRE)--MariaDB plc today announced that it has entered into a definitive agreement to acquire GridGain Systems, Inc., the pioneer of in-memory computing and creator of open source Apache Ignite. By merging MariaDB’s AI-ready relational database with GridGain’s scalable, in-memory power, MariaDB is setting a new industry standard: sub-millisecond data infrastructure for the agentic era. Closing the AI Latency Gap As enterprises move beyond passive chatbots toward agentic AI – autonomous systems that reason, plan and execute tasks – they are quickly becoming limited by traditional data architectures. AI agents require real-time access to massive datasets with zero friction. This acquisition bridges that gap by fusing: MariaDB’s reliability: Proven, ACID-compliant transactional integrity for the world’s most sensitive data, with native vector capability and AI support. GridGain’s speed: Extreme-scale and in-memory processing that eliminates the disk-drive tax on performance. “The rise of agentic workloads has placed unprecedented demands on enterprise infrastructure, causing requirements to explode ...{}