The latest from the MySQL community

VillageSQL Server 0.0.4 is now available (and marked as the stable release for installs). 0.0.4 takes the parameterized types and SQL integration from 0.0.3 and extends them in two directions:

• smarter server reasoning (inference rules, custom aggregates)
• operational completeness (config, metrics, secrets management)

Extensions stop being things you install and hope work; they become things you can configure, monitor, and manage like any other part of the server.

Every MySQL ADO.NET provider looks reliable during development. The real differences appear later, when async performance breaks under load, licensing becomes a problem, or integrations with EF Core and cloud environments start creating friction. Read the full article to find the right MySQL .NET provider for your stack.

The post Top 4 MySQL ADO.NET Providers for 2026  appeared first on Devart Blog.

tidesdb-mysql is an experimental build that was developed to verify how TidesDB, the LSM-tree key/value engine, can work with MySQL 9.7 as a storage engine. The current build is v0.2.4, and it’s an experiment, not a finished product. So you can use it in your tests if you also want to try TidesDB with MySQL and compare with MariaDB

Why we made it

There was already a way to use TidesDB from SQL. It’s TideSQL, which loads the engine into MariaDB as ha_tidesdb, and it works fine. But it doesn’t work with MySQL. So we wanted TidesDB to work with MySQL 9.7.

MariaDB and MySQL share a lot of history, but they are not the same. We couldn’t just recompile the MariaDB plugin against MySQL headers and call it done. The one thing that stayed put through all of it was TidesDB itself, doing exactly what it does anywhere else. Only the server wrapped around was changed. In result we got our implementation, so if you’re …

As MySQL HeatWave environments continue to grow, many organizations prioritize scaling compute and storage resources while overlooking a critical area: database housekeeping. Inadequate maintenance practices can result in excessive storage consumption, longer backup and recovery times, replication lag, degraded query performance, and increased operational costs. This blog highlights key database hygiene and optimization strategies for […]

Overview

Servers Tested:

• MySQL 9.7.0 (PGO-enabled build released by Oracle)
• MySQL 9.7.0 Non-PGO (built without Profile-Guided Optimization — see BUILD.md)

Tier Configurations:

• Tier 2G: 2GB InnoDB buffer pool
• Tier 12G: 12GB InnoDB buffer pool
• Tier 32G: 32GB InnoDB buffer pool

View Results

Interactive Reports

The benchmark reports are available as interactive HTML pages at:

https://percona-lab-results.github.io/2026-pgo/index.html

Performance …

Organizations modernizing transactional database environments are increasingly adopting MySQL HeatWave to simplify operations, improve scalability, increase availability, enhance security and enable real-time analytics without separating OLTP and OLAP systems. However, successful adoption requires more than simply provisioning a new database instance. This blog explores practical best practices for provisioning and migrating OLTP and OLAP workloads […]

As organizations modernize their data platforms, MySQL HeatWave has emerged as a powerful solution for running online transactional processing (OLTP) and real-time online analytics processing (OLAP) together without ETL complexity. However, achieving optimal performance and cost efficiency requires thoughtful capacity planning. This blog explains how to monitor and estimate MySQL HeatWave capacity using SQL queries, […]

Modern cloud applications are expected to remain available even during infrastructure interruptions, replication failovers, maintenance events, and transient network failures. In distributed database environments, it requires applications to treat transient failures as a normal part of production operations. This blog discusses practical API reliability designs for applications using MySQL HeatWave High Availability and Read Replicas, […]

ProxySQL 3.0.8 extends session-variable tracking beyond parsed SET statements by consuming MySQL session-state notifications from backend OK packets.

Modern AI systems increasingly rely on multimodal data: text, images, documents, audio, and video. Among these modalities, image understanding has become one of the most important capabilities for AI-powered applications.
Traditionally, implementing these capabilities required specialized computer vision infrastructure, external vector databases, custom ML pipelines, and multiple frameworks.
With MySQL HeatWave GenAI, many of these capabilities can now be implemented directly inside SQL workflows using built-in AI routines.
In this article, we will build the foundations of a Vision Model Evaluation Assistant using MySQL HeatWave GenAI. The objective is not to create another image classifier, but rather a semantic image understanding platform.

The post Building an AI Vision Search Engine with MySQL …