Wedoany.com Report on Mar 10th, MariaDB has announced plans to acquire GridGain Systems to address data latency issues in artificial intelligence agent workloads. This transaction aims to deliver sub-millisecond data performance through in-memory computing technology, meeting the rapid iteration needs of emerging AI applications. GridGain is a provider of in-memory computing platforms and also the developer of the open-source project Apache Ignite.
MariaDB pointed out that many traditional database architectures were designed decades ago, primarily for transactional applications, making it difficult to adapt to the fast data access patterns required by AI agents. As enterprises move from AI experimentation to actual deployment, minor delays in operational data access can accumulate throughout the process, creating what is termed the "AI latency gap." This acquisition aims to solve this problem through in-memory computing.
GridGain's technology processes and stores data directly in memory within distributed clusters, claiming to be faster than repeatedly fetching data from disk storage. By keeping frequently accessed datasets in memory, the goal is to reduce latency in traditional database architectures. MariaDB provides a persistent transactional foundation, while the in-memory layer accelerates data access and usage.
"Today's enterprises cannot afford the latency introduced by siloed data architectures. With MariaDB and GridGain, enterprise customers will get a unified platform offering the best of both worlds—performance and scale—without sacrificing persistence," said Lalit Ahuja, Chief Technology Officer at GridGain.
MariaDB CEO Rohit De Souza stated, "The rise of agent-based workloads places unprecedented demands on enterprise infrastructure, leading to demand surges that require scale and sub-millisecond latency levels that traditional systems simply cannot handle." He added that this acquisition enables MariaDB to offer a high-performance, scalable, open alternative.
In recent years, MariaDB has undergone several strategic adjustments. Investment firm K1 Investment Management acquired the company in 2024 and formed a new leadership team. Since then, MariaDB has expanded its platform capabilities through the acquisitions of Codership and SkySQL. Today, the company faces broad competition in the database market, including traditional vendors, cloud providers, and emerging AI data architecture players.
GridGain originated in 2007, with its developed in-memory computing technology aimed at processing large volumes of data faster than traditional architectures. Its core technology later became Apache Ignite. If AI agents become mainstream in enterprise architecture, data system response speed could become a critical factor. MariaDB hopes to close the latency gap and address the challenges of AI agent workloads by combining its database platform with GridGain's in-memory technology.
