A PostgreSQL extension that brings Elastic-quality full-text search and analytics directly inside Postgres.
ParadeDB is a PostgreSQL extension that brings Elastic-quality full-text search and analytics directly inside Postgres. It provides high-performance search capabilities, columnar storage for analytics, and complex aggregations without requiring separate search infrastructure. The extension integrates battle-tested Rust libraries to deliver production-ready search functionality within the familiar PostgreSQL environment.
Database engineers, backend developers, and data teams who need powerful search and analytics capabilities within their PostgreSQL databases, particularly those looking to replace or avoid Elasticsearch complexity.
Developers choose ParadeDB because it eliminates the operational overhead of maintaining separate search infrastructure while providing Elastic-quality features directly in PostgreSQL. Its integrated approach simplifies architecture, reduces costs, and leverages existing Postgres knowledge and tooling.
Simple, Elastic-quality search for Postgres
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Eliminates the need for separate systems by bringing Elastic-quality full-text search directly into PostgreSQL, reducing operational complexity. The README emphasizes 'bringing Elastic-quality capabilities directly to PostgreSQL without complex external systems.'
Leverages columnar storage and Apache DataFusion for efficient OLAP processing, enabling complex aggregates and faceted searches. Features like 'Bucket & Metrics' and 'Facets' are highlighted in the Aggregates section.
Provides official libraries for Django, SQLAlchemy, and Rails, easing integration into existing applications. The Integrations section lists these with links to GitHub repositories.
Built on robust Rust libraries like Tantivy for search and pgrx for Postgres integration, ensuring reliability. The 'How It Works' section credits these dependencies for powering core functionality.
Critical features like vector search and hybrid search are still in development, limiting use for modern AI applications. The README explicitly marks these as 'coming soon' in the feature list.
Requires installing a PostgreSQL extension, which can be non-trivial compared to cloud-hosted alternatives; the Installation section points to Docker and hosting options, indicating potential hurdles.
As a newer project, it lacks the extensive plugin ecosystem and community support of established solutions like Elasticsearch. The README notes 'more coming' for integrations, highlighting ongoing development.
ParadeDB is an open-source alternative to the following products: