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MariaDB buys in-memory computing pioneer GridGain to accelerate data processing for AI agents - SiliconANGLE
Database management company MariaDB Plc said today it's buying the Apache Ignite creator and in-memory computing technology developer GridGain Systems Inc. to build more robust infrastructure for artificial intelligence agents. The company said the combination of its own technologies and GridGain
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MariaDB To Acquire GridGain In Push To Support High-Performance Computing, AI Applications
MariaDB will incorporate GradGain's in-memory data processing technology within its popular relational database to provide "sub-millisecond data infrastructure" for the AI agentic era, according to the company. Relational database developer MariaDB has struck a deal to acquire in-memory computing
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MariaDB is acquiring in-memory computing pioneer GridGain Systems to create a unified platform for AI agents requiring real-time data access. The deal combines MariaDB's database with GridGain's Apache Ignite technology to deliver sub-millisecond data processing, addressing the unprecedented demands of agentic workloads that traditional disk-based systems struggle to handle.
Database management company MariaDB announced it is acquiring GridGain Systems, the creator and main developer of Apache Ignite, to build more robust data infrastructure for AI applications and agentic workloads
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. The combination will create a unified hybrid cloud platform capable of handling transactional and analytical workloads alongside AI use cases in what MariaDB describes as a "single, high-velocity system"2
. Financial terms were not disclosed, with the deal subject to customary closing conditions1
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Source: SiliconANGLE
GridGain specializes in in-memory computing technology that sits atop standard databases to accelerate data processing by storing compute tasks in a computer's memory rather than relying on slower disk drives
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. This approach enables sub-millisecond latency, which MariaDB CEO Rohit de Souza said is essential for agentic AI systems that automate work on behalf of humans and require real-time access to massive datasets1
. "The rise of agentic workloads has placed unprecedented demands on enterprise infrastructure, causing requirements to explode and requiring a level of scale and sub-millisecond latency that traditional systems simply weren't built to handle," de Souza stated2
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Source: CRN
By combining its relational database with GridGain's in-memory data grid, MariaDB aims to provide what it calls a "high-performance, scalable, open alternative to the rigid lock-in of Oracle and the fragmented complexity of hyperscalers"
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. The company is specifically targeting the separate, disconnected data services offered by cloud providers as an area where its unified approach can differentiate2
. GridGain CTO Lalit Ahuja emphasized that "enterprises today cannot afford the latency introduced by siloed data architectures," adding that the combined technology stack will unlock high-performance computing capabilities that power the next generation of AI applications2
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The GridGain acquisition signals MariaDB is gaining momentum after financial problems derailed its bid to go public in December 2022
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. The company was acquired by private equity firm K1 Investment Management in September 2024, and has since made strategic moves to strengthen its position1
. In August, MariaDB reacquired SkySQL, its former subsidiary offering cloud-based database-as-a-service that provides more flexible deployment options1
. The company also launched MariaDB Enterprise Platform 2026, which features retrieval-augmented generation pipelines for developing agentic applications1
. Founded in 2012 by the original developers of the open-source MySQL database, MariaDB is now positioning itself to accelerate data processing for the emerging demands of AI agents and high-performance computing scenarios2
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