One Postgres for your application data, full-text search, vector retrieval, and aggregations. Join the waitlist for early access.

Three benchmark passes over one TopK search query against ParadeDB and Postgres FTS, showing how workload variation and execution shape change the answer.

Deploy ParadeDB on Render with one click. Full-text search, vector search, and hybrid search over Postgres — now available on your favorite cloud platform.

Publishing a benchmark has two hard problems: telling a story worth reading and getting the mechanics right. Here's how we think about both.

Deploy ParadeDB on Railway with one click. Full-text search, vector search, and hybrid search over Postgres — now available on your favorite cloud platform.

How Cofactr replaced MongoDB Atlas Search with ParadeDB to unify its search and primary data stores on Postgres in AWS GovCloud.

How Modern Treasury replaced legacy indexes and roll-up tables with ParadeDB, eliminating query timeouts and increasing write speeds by 2-3x.

We sat down with Paul Masurel (creator of Tantivy and co-founder of Quickwit) to talk about building a search engine in Rust, following the competitive happy-path with Lucene, open-source maintenance,...

How Terrapin Finance replaced pg_trgm with ParadeDB to power sub-200ms full-text search across 1.1 billion rows of fixed-income data.

Welcome to another edition of South Bay Systems! This time we bring you two wonderful talks: Sugu Sougoumarane will be speaking about deconstructing consensus…

How ParadeDB uses principles from search engines to optimize Postgres' Top K performance.

Build a production-grade personalized search engine entirely within Postgres using BM25 retrieval and vector-based reranking, no external infrastructure required.

How ParadeDB achieved 10x improved write throughput through searchable buffers, background merging, and handling Postgres HOT chains.

Introducing faceted search in ParadeDB - bringing the power of search engine faceting to PostgreSQL with single-query aggregations.

Explore ParadeDB's v2 API that eliminates schema duplication, simplifies tokenization, and provides transparent search operators for intuitive SQL-based full-text search.

Engineering deep dives, product and company announcements, and guides from the ParadeDB team.

Build production-ready hybrid search that combines BM25 lexical matching with vector similarity search, all inside PostgreSQL

Understanding how search engines transform text into tokens through character filtering, tokenization, stemming, and stopword removal.

YouTube video by The Data Engineering Show - Podcast

The Transactional Elasticsearch Alternative

Zero-ETL search and analytics for Postgres

Zero-ETL search and analytics for Postgres

ParadeDB built a Postgres extension that facilitates full-text search and analytics on Postgres without the need to transfer data.

Zero-ETL search and analytics for Postgres

Zero-ETL search and analytics for Postgres