
MariaDB’s Enterprise Platform 2026 launch was introduced at the moment, with the promise that it’s going to act as “the definitive database platform for constructing next-generation clever functions.”
Based on MariaDB, this newest launch combines transactional, analytical, and vector databases right into a single database platform.
To help agentic AI, the corporate added native RAG for grounding LLMs with context from MariaDB with no need embeddings, vector shops, or retrieval pipelines. The corporate additionally added ready-to-use brokers throughout the platform, together with a developer copilot that connects to the database and may reply to pure language queries, and a DBA copilot that may handle duties like efficiency tuning and debugging.
Moreover, the corporate added an built-in MCP server in order that brokers can work together with MariaDB databases. The MCP interface in MariaDB permits customers to combine vector search, LLMs, and normal SQL operations, and permits brokers to launch serverless databases within the cloud.
“The way forward for functions is agentic. AI brokers must probe, analyze and transact in actual time and at monumental scale. On the identical time, brokers should be grounded in insights contained in enterprise knowledge that’s trapped in fragmented silos at the moment,” stated Vikas Mathur, chief product officer of MariaDB. “MariaDB Enterprise Platform 2026 is purpose-built to remove that architectural friction. In combining transactional, analytical and AI workloads, we’re enabling our prospects to construct the subsequent wave of clever functions on a single database platform, shortening the trail from uncooked transactional knowledge to useful enterprise outcomes.”
As well as, MariaDB Exa is a brand new analytics providing for multi-terabyte, advanced analytics on operational knowledge. MariaDB says that this new providing is 1000x sooner than conventional OLTP engines. It integrates immediately with MariaDB’s transactional database and doesn’t require knowledge to maneuver to a separate analytics answer to carry out queries.
MariaDB ColumnStore was up to date as properly with a brand new question accelerator that may immediately course of transactional knowledge, enabling parallel OLAP queries on real-time enterprise knowledge. It additionally has new read-replica nodes that allow compute assets to be added with out redistributing knowledge, built-in cluster administration instruments, automated improve processes, and enhanced knowledge import choices.
Different new options are the MariaDB Enterprise Supervisor, which offers a centralized view of the whole database atmosphere; a brand new database firewall of their superior database proxy, MariaDB MaxScale; and common availability of MariaDB Cloud Serverless.