Every AI agent in production is betting that the data in front of it is true. In most enterprises, that data is spread across operational databases, a warehouse, vector stores and caches, each one bolted on to solve a single workload. Every system you add creates another seam, and seams break.

Agents raise the stakes. A single agent fires high volumes of small queries and needs live operational and analytical data at once. Fragmented systems can’t serve that without moving data first, which adds delay agents can’t afford and load the stack can’t carry at scale.

MariaDB unifies it all.
One foundation, every workload, at real-time speed.

Instead of a separate vector database, caching layer, analytics engine and RAG pipeline, each with its own vendor and contract, MariaDB runs it all on one platform. Fewer seams, nothing to stitch together, and one team accountable for every piece.