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Open-Source Databases · paradedb

paradedb

ParadeDB is a Postgres extension that adds full-text search, vector retrieval, and OLAP analytics to a single database, eliminating the need for a separate search engine. It wraps Tantivy (for search) and Apache DataFusion (for analytics) as Postgres extensions, letting you handle search and aggregations without syncing data across systems.

Source: GitHub — github.com/paradedb/paradedb
9k
GitHub stars
414
Forks
Rust
Primary language
AGPL-3.0
License (OSI-approved)

Key facts

Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.

FieldValue
Repositoryparadedb/paradedb
Ownerparadedb
Primary languageRust
LicenseAGPL-3.0 — OSI-approved
Stars9k
Forks414
Open issues148
Latest releasev0.24.1 (2026-06-20)
Last updated2026-07-08
Sourcehttps://github.com/paradedb/paradedb

What paradedb is

Built in Rust using pgrx, ParadeDB integrates Tantivy (BM25 full-text search) and Apache DataFusion (columnar OLAP) as Postgres extensions. The pg_search extension indexes and queries data within Postgres; vector support currently relies on pgvector, with native vector indexing planned.

Quickstart

Get the paradedb source

Clone the repository and explore it locally.

terminalbash
git clone https://github.com/paradedb/paradedb.gitcd paradedb# follow the project's README for install & configuration

Need it deployed, integrated, or customized instead? DEV.co ships production installs.

Best use cases

Search-Heavy Applications

Applications needing Elasticsearch-grade full-text search (BM25 scoring, filtering, highlighting) without maintaining a separate search cluster. Reduces operational overhead and data sync complexity.

Real-Time Analytics & OLAP Queries

Analytical workloads requiring columnar storage, aggregations, and faceting alongside transactional data, without ETL pipelines or a separate OLAP warehouse.

Hybrid Search (Currently with pgvector)

Applications combining keyword search with vector similarity queries on a single dataset, useful for semantic search and retrieval-augmented generation (RAG) until native vector indexing lands.

Implementation considerations

  • AGPL-3.0 license requires legal review for commercial SaaS use; enterprise licensing available from ParadeDB.
  • Depends on Postgres version compatibility and pgrx stability; confirm Postgres version support before deployment.
  • Native vector search is on the roadmap but not yet shipped; current vector work relies on pgvector extension.
  • BM25 and columnar aggregations are production-ready; newer features (native hybrid search) are 'coming soon'.
  • Docker installation available; on-premise and cloud deployments (Railway, Render, DigitalOcean) are documented.

When to avoid it — and what to weigh

  • AGPL-3.0 Commercial Licensing Concerns — ParadeDB Community is AGPL-3.0, which requires source disclosure for networked software modifications. If building proprietary SaaS without sharing code or need a commercial license, contact ParadeDB sales or use an alternative with permissive licensing.
  • Massive Scale Search Infrastructure — If you need multi-cluster, sharded search deployments with advanced replication across data centers, a dedicated search platform (Elasticsearch, Meilisearch) or cloud-native solution may be more mature.
  • Separation of Concerns (Search as Microservice) — Architectural preference for decoupled search services; ParadeDB tightly couples search with Postgres, making it harder to scale or upgrade search independently.
  • Early-Stage, Mission-Critical Deployments — Project is young (created June 2023, v0.24.1 at release time). For mission-critical systems requiring proven, battle-tested maturity, consider established alternatives first.

License & commercial use

ParadeDB Community is licensed under GNU Affero General Public License v3.0 (AGPL-3.0). AGPL-3.0 is a copyleft license requiring source code disclosure for any modifications and networked use. This is **not a permissive license** and is **not compatible with proprietary, closed-source commercial use without an exception or commercial license from ParadeDB.

AGPL-3.0 is restrictive for proprietary SaaS. If deploying ParadeDB in a commercial service, you must either: (1) open-source your modifications and service code, or (2) obtain a commercial license from ParadeDB (contact [email protected]). Do not assume commercial use is permitted without explicit legal review or a written commercial license agreement.

DEV.co evaluation signals

Editorial assessment — not user reviews. Directional, with an explicit confidence level.

SignalAssessment
MaintenanceActive
DocumentationStrong
License clarityClear
Deployment complexityModerate
DEV.co fitGood
Assessment confidenceHigh
Security considerations

ParadeDB inherits Postgres security model (authentication, role-based access). As an extension, it operates within Postgres process space. No independent security audit data provided. Full-text search and indexing do not introduce network exposure (local extension). Input validation (SQL injection, malicious search queries) relies on Postgres and Tantivy. Review security requirements before production use; no claims of formal security certification are made.

Alternatives to consider

Elasticsearch + Postgres

Mature, widely-adopted search engine with dedicated scaling, clustering, and cloud offerings (Elastic Cloud). Requires separate infrastructure and data sync but offers battle-tested enterprise SLA and security.

Meilisearch

Open-source, permissive (MIT) search engine focused on developer experience and ease of deployment. Simpler than Elasticsearch but lacks some advanced analytics; suitable for smaller-scale search needs.

Apache Solr

Enterprise-grade search platform with strong OLAP and columnar support. Mature ecosystem but heavier operational overhead than ParadeDB and requires separate deployment.

Software development agency

Build on paradedb with DEV.co software developers

ParadeDB consolidates search and analytics into Postgres. Review the AGPL-3.0 license implications, evaluate your deployment scale, and pilot with test data. Contact ParadeDB sales for commercial licensing.

Talk to DEV.co

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paradedb FAQ

Can I use ParadeDB in a commercial SaaS product?
Only with a commercial license from ParadeDB or by open-sourcing your code. AGPL-3.0 requires source disclosure for networked services. Contact [email protected] for commercial licensing terms.
Do I still need Elasticsearch if I use ParadeDB?
No. ParadeDB provides full-text search, BM25 scoring, and filtering within Postgres. If you only need search (not other Elasticsearch features), ParadeDB eliminates the need for a separate search system.
Is native vector search available now?
Not yet. Current vector support uses the pgvector extension. Native vector indexing within pg_search is on the roadmap (marked 'coming soon'). Expect it in a future release.
How mature is ParadeDB for production?
Project is ~3 years old with active maintenance and growing adoption. Full-text search and aggregates are stable. Newer features (native hybrid search) are still in development. Evaluate for your risk tolerance; consider beta/early-adopter status.

Custom software development services

Adopting paradedb is usually one piece of a larger software development effort. As a software development agency, DEV.co provides software development services and web development expertise — pairing senior software developers and web developers with your team to design, build, and operate open-source databases software in production.

Ready to integrate unified search into Postgres?

ParadeDB consolidates search and analytics into Postgres. Review the AGPL-3.0 license implications, evaluate your deployment scale, and pilot with test data. Contact ParadeDB sales for commercial licensing.