About ParadeDB
ParadeDB upgrades Postgres so that application records, keyword search, vector lookups and aggregate queries can share one database. It is built as a Postgres extension, home of pg_search, and uses standard SQL and ACID transactions, so there is no separate search engine to keep in sync.
A custom index delivers full-text and vector search with BM25 scoring, top-K queries, highlighting, tokenizers and filters, along with facets, aggregations, bucket and metrics queries, joins and columnar storage. Under the hood it builds on Rust libraries: pgrx bridges Postgres and Rust, Tantivy powers search and Apache DataFusion handles OLAP processing. Integrations cover Drizzle, Django, SQLAlchemy, Rails and EF Core, AI agent tooling such as MCP, and PaaS providers like Railway, Render, Fly.io and DigitalOcean.
You can try ParadeDB locally with Docker and psql, run it self-hosted, or use ParadeDB Cloud for a fully managed experience. It is written in Rust and licensed under AGPL-3.0. Teams use it to add search to an existing Postgres setup instead of adding Elasticsearch.
Key features
- Full-text search with BM25 scoring
- Vector and hybrid search
- Facets, aggregations and joins
- Columnar storage for analytics
- Built as a Postgres extension
- Standard SQL with ACID transactions
- Integrations with ORMs and PaaS hosts
Good fit for
- →Adding search to an existing Postgres database
- →Hybrid keyword and vector retrieval
- →Real-time analytics inside Postgres
- Tags
- postgresql
- full-text-search
- vector-search
- bm25
- hybrid-search
- search-engine
- analytics
- rust
- pg-search
ParadeDB: questions and answers
- What is ParadeDB used for?
- ParadeDB is a Postgres extension and distribution that adds fast full-text search, BM25 ranking, vector and hybrid search and analytics to PostgreSQL. It is a good fit for adding search to an existing Postgres database, hybrid keyword and vector retrieval, and real-time analytics inside Postgres.
- Is ParadeDB open source?
- Yes. ParadeDB is open source under the AGPL-3.0 licence. Its source code is on GitHub at paradedb/paradedb and is written mainly in Rust.
- Is ParadeDB free?
- Yes. ParadeDB is open source, so the software itself is free to use. A managed cloud version is also available.
- Can I self-host ParadeDB?
- Yes. ParadeDB can be self-hosted on your own server or infrastructure.
- What is ParadeDB an alternative to?
- ParadeDB is an open-source alternative to Elastic and Azure AI Search. Other open-source alternatives to Elastic include RediSearch, SeekStorm and Manticore Search.
- Is ParadeDB actively maintained?
- Yes. The most recent commit to ParadeDB was on 2 October 2026, and the latest release is v0.25.11, published on 29 September 2026. The project has 9.3k stars on GitHub.
Open-source alternatives to ParadeDB
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RediSearch
Search
A query and indexing engine for Redis, providing secondary indexing, full-text search, vec
OSSvs Elastic★ 6.2k
SeekStorm
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SeekStorm: vector & lexical search - in-process library & multi-tenancy server, in Rust.
Apache-2.0vs Algolia★ 1.9k
Manticore Search
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Open-source search database for full-text, vector, and hybrid search with real-time indexi
GPL-3.0vs Elastic★ 12k
Typesense
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Typesense is an open-source search engine for fast, typo-tolerant site and app search, wit
GPL-3.0vs Algolia★ 27k
Apache Solr
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Apache Solr open-source search software
Apache-2.0vs Elastic★ 1.7k
OpenSearch
Search
🔎 Open source distributed and RESTful search engine.
Apache-2.0vs Elastic★ 14k
SaaS alternatives to ParadeDB
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Elastic
Search
Elastic builds Elasticsearch, a distributed search and analytics engine used for application search, logs, vector search and security analytics.
SaaS
Azure AI Search
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Azure managed search with full-text, vector and hybrid retrieval
SaaS
Pinecone
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EDB Postgres AI
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Enterprise PostgreSQL distribution, managed service and tooling from EnterpriseDB
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Aiven
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Managed service for running Postgres, MySQL, Kafka and other data systems in the cloud
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Amazon Athena
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Serverless interactive query service for analyzing data in Amazon S3 with SQL
SaaS

