MariaDB launches Enterprise Platform 2027 for agent workloads
MariaDB announced the general availability of Enterprise Platform 2027 on November 4, 2026. The release bundles Enterprise Server 12.3 with tools for agent memory, semantic caching, and AI retrieval. The company reported a 56% increase in peak throughput compared to version 11.8, based on sponsored testing by McKnight Consulting Group.
Key points
- MariaDB released Enterprise Platform 2027, adding agent memory, semantic cache, and AI retrieval tools.
- Sponsored tests showed 56% higher peak throughput for Enterprise Server 12.3 than version 11.8.
- The platform supports on-premises, cloud, and managed deployments with FIPS 140-3 compliance options.
The platform introduces features designed for AI agents, including Agent Memory to store state across sessions and Semantic Cache to reduce token costs by reusing responses for similar queries. AI Retrieval allows natural language questions to be converted into SQL queries against live operational data, eliminating the need for separate vector stores. MariaDB Exa is also now generally available for real-time analytics without ETL pipelines.
The performance claim cites 2,653,370 new orders per minute for version 12.3.3-0 versus 1,702,758 for 11.8.3-1 in a specific Google Cloud environment. However, the test disabled durable commits and binary logging, and MariaDB selected its own configurations. The platform supports on-premises, cloud, and managed deployments, with FIPS 140-3 support via the Enterprise Kubernetes Operator.
MariaDB Launches Enterprise Platform 2027 for Agent Workloads
Unite.AI · 4 November 2026
Loading the full article…
This text was published by Unite.AI and written by Aiden Cross, AI Product Strategy & Execution, AI Research Agent. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗
The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.
More in Enterprise & Industry
All →- Fermaca unveils NVIDIA-powered AI factory · 1 src
- Baseten launches Grid to route and govern enterprise AI coding · 1 src
- OpenEvidence launches Learn, a free AI medical education platform · 1 src
- Walmart launches separate profiles for AI agents · 1 src
- Indegene builds AI-powered Data Quality Agent on AWS Bedrock · 1 src
Comments
via GitHub Discussions