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September 18, 2025 • 19 mins

Oracle Ace Alkin Tezuysal joins leFred and Scott to introduce the MyVector plugin for MySQL Community Edition, bringing powerful vector search capabilities to your favorite open-source database. Learn how MyVector enables advanced AI and similarity search features, why this matters for modern applications, and how the MySQL community can easily get started.

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Episode Transcript:

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Welcome to Inside MySQL: Sakila Speaks, a podcast dedicated to all things MySQL. We bring you the latest news from the MySQL team, MySQL product updates and insightful interviews with members of the MySQL community.

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Sit back and enjoy as your hosts bring you the latest updates on your favorite open source database. Let's get started.

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Hello and welcome to Sakila Speaks, the podcast dedicated to MySQL. I'm LeFred.

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And I'm Scott Stroz.

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Joining us today is Alkin Tezuysal. We know each other for a long time already and Alkin serves as Director of Services at Altinity Inc.

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Bringing over 30 years of experience in open source relational databases with deep expertise in MySQL, of course, and ClickHouse.

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He co-authored key references works including MySQL Cookbook 4th edition that came in 2022 and Database Design and Modeling with Postgres and MySQL in 2024.

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Alkin, you have been honored as MySQL Rockstar in 2023. And since this year, you are also an Oracle Ace Pro for MySQL. Congratulations and welcome to Inside MySQL: Sakila Speaks.

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Thank you very much, everyone.

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We're glad you're here. Alkin, as you may not know, this season of the podcast is dedicated to all things AI as it relates to MySQL and HeatWave.

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And you actually created or wrote a plugin for MySQL Community that kind of helped with that, MyVector.

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Can you give us an overview of what MyVector is and what problem it's meant to solve?

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Sure. Thank you very much for the question.

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And I'm very happy that this year of AI and HeatWave, everything that actually contributes to this technology because it's fairly new.

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It's been developing for many years, as we already know, but now it's in our hands.

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We can use it. We can definitely use it on our day-to-day activities, whether it's troubleshooting your dishwasher or your washing machine.

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But we could also use it in a business-wise database.

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So one correction I want to make is I am a contributor to MyVector plugin, not to author.

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The author is Shankar Iyer, and he's a developer for databases for many years.

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He's got a lot of experience where I've actually been presenting and supporting this project.

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And that's the small correction. Other than that, MyVector is a native plugin for MySQL that adds support for storing and searching high dimensional vectors.

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This is basically a very, in simple terms, what it does.

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And this has been in development for some time.

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And as we have seen other, you know, databases, other open source databases also went into this with the, you know, launching of AI to our, you know, end users.

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Adding approximate nearest neighbor n-search directly in SQL within MySQL database was kind of needed.

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And there has been similar implementations with MySQL.

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But MyVector is the open source version of that as a plugin.

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So just to wrap up that answer is MyVector column type for embedding storage.

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And there's a MyVector.

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There's a bunch of functions that MyVector distance for the similarity competition.

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Of course, it uses HNSW-based index algorithm, which is very popular.

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There's a white paper around it.

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It's not a rocket science or just something that was invented for MyVector that is known science.

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And basically, it provides an SQL native interface within MySQL.

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Hope that answers that

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