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ParadeDB

One Postgres for your application data, full-text search, vector retrieval, and aggregations. Home of the pg search extension.

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Type
Search Engine
Pricing
Free (open source)
Best for
Postgres teams adding full-text and vector search
Last updatedOctober 22, 2026Open Source

Evaluate ParadeDB

ParadeDB: product and architecture

ParadeDB in short

ParadeDB upgrades Postgres with a custom index for full-text and vector search, BM25 scoring, filters, facets, aggregations and joins. It is a Postgres extension rather than a fork: you run CREATE EXTENSION pg_search and create a ParadeDB index on your tables, so application data and search live in the same database with standard SQL and ACID transactions.

Buying snapshot

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FactDetail
DeploymentDrops into any self-managed Postgres as an extension; runs locally with Docker through the install script; ParadeDB Cloud for a managed option.
Operating modelA native index on your tables — no sidecar process, no external cluster. One index combines inverted, vector and columnar structures.
Query surfaceStandard SQL: joins, CTEs, window functions, JSONB, PL/pgSQL, row level security, materialized views, with ACID commits, rollbacks and read-after-write.
LicensingParadeDB Community is under AGPL-3.0. ParadeDB Enterprise is commercially licensed and included with ParadeDB Cloud; self-hosting Enterprise goes through sales.
High availabilityPostgres physical replication, plus horizontal read scaling with read replicas, available on the Enterprise plan.
Support channelsSlack for questions, GitHub Discussions for longer-form Q&A, GitHub Issues for bugs and feature requests; email covers enterprise support and commercial licensing.
Built onpgrx bridges Postgres and Rust, Tantivy powers full-text and vector search, Apache DataFusion handles OLAP processing.

Our take

ParadeDB fits teams already on Postgres who want search without a second system to keep in sync, and who are comfortable operating Postgres themselves. The decision splits on node count, not data volume: if a single node with no read replicas carries your search load, Community covers it; if you need high availability, read scaling or a dedicated SLA, you are on an Enterprise quote or on Cloud, which is in private preview.

Where it stands out

  • One copy of the data. Search engines and vector stores index a separate copy of your data; ParadeDB keeps application data in one place without schema changes.
  • Search behaviour you would otherwise leave Postgres for. Tunable BM25 scoring, the lexical ranking dedicated search engines use, plus typo tolerance, highlighting, phrase, fuzzy, proximity and regex queries.
  • Vendor benchmark, narrow scope. P95 text latency of 2.4 ms for ParadeDB 0.26.2 and 5.8 ms for Elasticsearch 8.17, measured single-client on a 28M row Hacker News dataset using rotating two-term title searches with paradedb/benchmarker.
  • Customer results published by the vendor. Modern Treasury reports 3x faster writes after one ParadeDB index replaced up to 26 B-tree and GIN indexes on a table; Bilt reports a 95% reduction in query timeouts in resident search with P95 latency down 50%.
  • Your Postgres tooling still applies. pg_dump, logical replication and pgBackRest keep working, as do extensions such as pg_partman, pg_cron and PostGIS.

Trade-offs to weigh

  • AGPL-3.0 on Community. Clear the license with legal before embedding it in a product you distribute; the commercially licensed Enterprise build is the other route.
  • Self-managed means you run the replication. High availability comes from Postgres physical replication on your own infrastructure, so the setup and the on-call stay with your team even once read replica support is licensed with Enterprise.
  • The managed option is in private preview. Confirm you can get access to ParadeDB Cloud before planning a migration around it.
  • Check your ORM before you commit. Listed integrations cover Drizzle, Django, SQLAlchemy, Rails and EF Core; Prisma sits under "more coming" rather than among them.
  • The published numbers are the vendor's own, and of two different kinds. The 2.4 ms and 5.8 ms figures come from one benchmark with a stated dataset, version pair and query shape; the Modern Treasury and Bilt figures are single customer deployments with no such scope stated. Re-run the benchmark on your data, and read the customer figures as examples rather than expectations.

Plans and pricing

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PlanPriceWhat it covers
Self-Managed CommunityFully free foreverA single node with no read replicas, community support; aimed at testing and small projects that don't require multiple nodes.
CloudPrivate PreviewEverything in Enterprise, fully managed, one-click deployments — ParadeDB run for you without managing infrastructure.
Self-Managed EnterpriseCustom PricingEverything in Community plus read replica support, high availability, and dedicated support with an SLA; commercially licensed, arranged with sales.

What the published plans price is a license and support tier. On both self-managed plans the cost driver is the Postgres infrastructure you run; the Enterprise quote sits on top of that and buys read replica support, high availability and dedicated support with an SLA.

Public signals

About these signals

Verified factual signals from public sources. They indicate observable activity or interest, not total adoption, product quality, or cost.

568 GitHub commits 90d9.4k GitHub stars

See all signals from 1 source
Source
Signals
Last updated
GitHub
Commits 90d:568Stars:9.4k
October 26, 2026

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