Enterprise DNA
O Open Source Observability medium

ParadeDB

by Community

Simple, Elastic-quality search for Postgres

P

OSS

ParadeDB

Added 1 June 2026

#aggregations #analytics #bm25 #database #elasticsearch #full-text-search #htap #hybrid-search

Overview

ParadeDB is an open-source search engine built in Rust that runs as a PostgreSQL extension. It provides full-text search capabilities comparable to Elasticsearch while keeping data inside Postgres.

Best for

Best for
Teams using PostgreSQL who need Elasticsearch-quality search without managing a separate search service.

Use cases

  • Adding high-performance full-text search to existing Postgres applications
  • Replacing standalone Elasticsearch with a Postgres-native search solution
  • Running analytics queries that combine search and structured data

Notes

ParadeDB is an open-source search engine built in Rust that runs as a PostgreSQL extension. It provides full-text search capabilities comparable to Elasticsearch while keeping data inside Postgres.

8,883 stars on GitHub. Last updated 2026-06-01. Licensed AGPL-3.0.

Use cases

  • Adding high-performance full-text search to existing Postgres applications
  • Replacing standalone Elasticsearch with a Postgres-native search solution
  • Running analytics queries that combine search and structured data

Pros

  • Direct integration with PostgreSQL eliminates separate search infrastructure
  • Rust-based implementation delivers fast indexing and query performance
  • Open source with large community and growing ecosystem

Cons

  • Newer than established search engines, so fewer production battle-tests
  • May not cover all advanced Elasticsearch features like complex aggregations
  • Requires Postgres and may not suit non-Postgres architectures

Indexed from awesome-llmops and enriched against its public facts.

Pros

  • Direct integration with PostgreSQL eliminates separate search infrastructure
  • Rust-based implementation delivers fast indexing and query performance
  • Open source with large community and growing ecosystem

Cons

  • Newer than established search engines, so fewer production battle-tests
  • May not cover all advanced Elasticsearch features like complex aggregations
  • Requires Postgres and may not suit non-Postgres architectures

Pairs with

Other entries in the index that connect to this one. Click through to see the chain.