paradedb vs pgvector

Common questions

What is the difference between paradedb and pgvector?

paradedb: One Postgres for application data, full-text search, vector retrieval, and aggregations. pgvector: Open-source vector similarity search for Postgres. See the comparison table for live GitHub stats and shared categories.

When should I choose paradedb over pgvector?

Choose paradedb over pgvector when paradedb is primarily Rust; pgvector is C; License: paradedb is AGPL-3.0, pgvector is Other; Pricing: ParadeDB Community is free and open-source under the AGPL-3.0 license. ParadeDB Enterprise offers commercial licensing for additional features and support.; Requirements: Min 2 GB RAM; Requires Docker; Installation can be done locally in a fresh Docker container.; For deployment, check out the hosting options provided by ParadeDB.; Tags unique to paradedb: aggregations, analytics, bm25, columnar-storage; Also covers Data & Retrieval; When you need a PostgreSQL extension that supports full-text search, vector retrieval, and aggregations in a single database.

When should I choose pgvector over paradedb?

Choose pgvector over paradedb when pgvector is primarily C; paradedb is Rust; License: pgvector is Other, paradedb is AGPL-3.0; Tags unique to pgvector: approximate-nearest-neighbor-search, c-language, docker-support, l2-distance; pgvector ships Docker support for self-hosted deployment; When you need to perform vector similarity searches within a PostgreSQL database and require support for multiple distance metrics.

When should I avoid paradedb?

If your project strictly requires a standalone vector database without the need for full-text search or aggregations. When you prefer a solution that does not come with the GNU Affero General Public License v3.0, as this might not align with your licensing requirements. If your application does not require real-time analytics or hybrid search capabilities, and you are looking for a simpler solution. For scenarios where you need a distributed search solution that operates independently of PostgreSQL.

When should I avoid pgvector?

If your application does not require the full feature set of PostgreSQL and you are looking for a lightweight solution specifically designed for vector similarity searches. When you need real-time, low-latency vector similarity searches that might be better served by specialized vector databases or in-memory solutions. If you are working in an environment where PostgreSQL is not supported or where you need to integrate with a different database system. When you require a solution that supports more advanced indexing techniques or approximate nearest neighbor search algorithms that are not natively supported by pgvector.

Is paradedb or pgvector more popular on GitHub?

pgvector has more GitHub stars (23,049 vs 9,278). Stars measure visibility, not whether either tool fits your constraints.

Are paradedb and pgvector open source?

Yes - both are open-source projects on GitHub (paradedb: AGPL-3.0, pgvector: Other).

Where can I find alternatives to paradedb or pgvector?

GraphCanon lists graph-backed alternatives at paradedb alternatives and pgvector alternatives (paradedb markdown twin, pgvector markdown twin), ranked by typed relationship edges rather than popularity votes.

Is there a machine-readable version of this comparison?

Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

Which is better maintained, paradedb or pgvector?

paradedb: Very active. pgvector: Active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

Where are the full trust reports for paradedb and pgvector?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: paradedb trust report; pgvector trust report.