ParadeDB is Postgres for search and analytics. It is an alternative to Elasticsearch built on Postgres. It offers state-of-the-art full-text and vector search capabilities, as well as fast aggregations inside Postgres. ParadeDB is built in Rust via Postgres extensions on top of database building blocks like Tantivy, DuckDB, and Apache DataFusion. It is compatible with every officially supported PGDG Postgres version. In this talk, we’ll discuss how we extended Postgres with these building blocks and dive into the technical details of building Postgres extensions that interact with Postgres storage, planning and query execution.

This talk is part of the Database Building Blocks Seminar Series.

Zoom Link: https://cmu.zoom.us/j/95283696582 (Passcode 787637)

Bio:
Philippe is the co-founder and CEO of ParadeDB, Postgres for search and analytics.