The Vector Search Quartet
Every database is doing vector search. No two of them are doing it in quite the same way. Which is not suprising - they start from different architectural traditions and constraints, and optimise for different things.
Join our panel of experts as they discuss what vector search means in MongoDB, MySQL, Postgres and Valkey. In spite of the session’s title, there will be no acapella ode to vector similarity. Instead you can expect insights into the datatypes and operators offered in each DBMS, the tradeoffs between approximate nearest neighbour searches, where you really need an index, how vector and keyword searches work together and what Percona has added on top of upstream functionality.
Speakers
Passionate about technology, Ivan is a seasoned professional with extensive experience in database management, cloud infrastructure, and software development. With a focus on optimizing performance and scalability, Ivan …
Principal Software Engineer at Percona working on Percona Server for MySQL since 2022. Worked on MySQL Server at MySQL/Sun/Oracle between 2003 and 2022. The most notable features on which I worked there are probably …
Since 1995, Alastair has deployed, administered, programmed and supported all things database, from Access to Universe, settling on Postgres around 2002. After being hit by the Kubernetes wave around 2018, Alastair has …
Martin is Percona’s tech lead for Valkey heavily investing in this great technology. A database geek and open source enthusiast at heart. He is the co-host of a popular podcast on all things open source.
