The latest from the MySQL community

A plugin started the fire, the M-ecosystem picked it up, the hyperscalers went native, and now the benchmark wars have begun.

Not long ago, if you asked about vector search in MySQL, you got a polite smile and a link to pgvector. Even after MySQL 9 added a VECTOR column type, the obvious next questions had no answer. Where is the index? Where is the distance function? For a while the honest answer was “use something else.”

This week the MySQL Contributor Summit (Nov 4–5, online) opened its technical program with vector search. The first discussion block, AI & Cloud, had four vector and AI proposals back to back from Oracle, Google, Percona and Intel. It was the clearest sign yet of how far vector search in MySQL has come.

Looking back, vector …

Benchmarks · HNSW vector search

MyVector adds approximate nearest-neighbor search to stock MySQL — no separate vector database. We put it on identical hardware across three MySQL versions, added MariaDB’s native vector type as a reference, and measured build time, throughput, latency, and recall on the same data.

askdba/myvector · live dashboard at bench.myvector.online

548peak ANN queries/sec (MySQL 9.7), ~1.8 ms median 0.95best recall@10 (MariaDB 12.3) once tuned 4×engines, one 50k×128 workload, identical 4 vCPU / 24 GB slices

Why benchmark this at all

Vector search usually means standing up a dedicated database next to your primary store, then keeping the two in sync. MyVector takes the other path: it lives inside MySQL as UDFs and stored procedures, builds an HNSW index over a column of vectors, and answers …

Type “a heist that goes wrong in a snowy town” and get back real films, with posters, in a few milliseconds. The vector search behind it runs inside MySQL, with no separate vector database.

Movie Finder is the new demo app that ships with MyVector. It searches up to 1,035,695 TMDB movies by meaning, not keywords. One docker compose up gives you the whole thing: MySQL 9.7 with the MyVector component, a loader, and a small web app.

Try it live: https://demo.myvector.online/

We built it to answer the questions people ask us most. Does vector search in MySQL hold up at a million rows? Can I mix it with ordinary WHERE filters? What happens when I insert a new row? The demo shows the answers on the page, with the SQL that ran under every result.

Live: What you can do on the page

Every feature on the …

May 2026 · 5 min read. Alkin Tezuysal

Cross blog from Oracle https://blogs.oracle.com/mysql/mysql-9-7-is-out-and-the-community-wins

MySQL 9.7 came out on April 21 and I’ve been going through the release notes so you don’t have to. The short version: Oracle has made several previously Enterprise-only features available in the Community Edition; the Hypergraph Optimizer is now free for everyone; and if you’re still on MySQL 8.0, it has reached End-of-Life. Like right now. We’ll get to that.

Let’s go through what matters most.

First: MySQL 8.0 has reached End-of-Life

MySQL 8.0.46 shipped alongside 9.7, and it is the last 8.0 release. As of April 2026, 8.0 is officially End-of-Life. No more security patches. No …

In my recent series on Scoped Vector Search, we looked at the query patterns that make vector search a first-class citizen in MySQL. While the logic for those searches is now established, the infrastructure supporting them requires constant attention as the MySQL ecosystem moves toward its new release model.

Today, I’m announcing MyVector v1.26.3. This is a foundational release focused on environment compatibility and CI/CD robustness.

What’s in v1.26.3?

This release ensures that MyVector remains stable and buildable across the shifting landscape of MySQL Innovation and LTS releases.

• MySQL 8.4 & 9.6 Compatibility: We’ve updated the component sources and build logic to align with the headers and …

As AI workloads become standard in modern applications, engineering teams face a familiar dilemma: MySQL is already the system of record, but vector search typically requires bolting on a separate database. MyVector and ProxySQL solve this without fragmenting your data stack.

Semantic Search with SQL Simplicity and Operational Control

Introduction

Vector search is redefining how we work with unstructured and semantic data. Until recently, integrating it into traditional relational databases like MySQL required external services, extra infrastructure, or awkward workarounds. That changes with the MyVector plugin — a native vector indexing and search extension purpose-built for MySQL.

Whether you’re enhancing search for user-generated content, improving recommendation systems, or building AI-driven assistants, MyVector makes it possible to store, index, and search vector embeddings directly inside MySQL — with full support for SQL syntax, indexing, and filtering.

What Is MyVector?

The MyVector plugin adds native support …