paradedb vs pgvecto.rs

Common questions

What is the difference between paradedb and pgvecto.rs?

paradedb: One Postgres for application data, full-text search, vector retrieval, and aggregations. pgvecto.rs: Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. See the comparison table for live GitHub stats and shared categories.

When should I choose paradedb over pgvecto.rs?

Choose paradedb over pgvecto.rs when License: paradedb is AGPL-3.0, pgvecto.rs is Apache-2.0; 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 pgvecto.rs over paradedb?

Choose pgvecto.rs over paradedb when License: pgvecto.rs is Apache-2.0, paradedb is AGPL-3.0; Tags unique to pgvecto.rs: chatgpt, faiss, gpt, hacktoberfest; When you need to integrate vector search capabilities directly into an existing PostgreSQL database, as pgvecto.rs extends PostgreSQL with vector data types and distance calculations.

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 pgvecto.rs?

If your application does not require integration with PostgreSQL, as pgvecto.rs is specifically designed as an extension for PostgreSQL and does not offer standalone vector search capabilities. When you need a solution that supports vector dimensions beyond 65535, as pgvecto.rs is limited to this maximum dimension size. If you are looking for a solution that does not require the overhead of setting up and maintaining a PostgreSQL database, as pgvecto.rs is tightly coupled with PostgreSQL. When you need a vector database that supports more complex vector operations beyond the three distance calculations provided by pgvecto.rs.

Is paradedb or pgvecto.rs more popular on GitHub?

paradedb has more GitHub stars (9,278 vs 2,186). Stars measure visibility, not whether either tool fits your constraints.

Are paradedb and pgvecto.rs open source?

Yes - both are open-source projects on GitHub (paradedb: AGPL-3.0, pgvecto.rs: Apache-2.0).

Where can I find alternatives to paradedb or pgvecto.rs?

GraphCanon lists graph-backed alternatives at paradedb alternatives and pgvecto.rs alternatives (paradedb markdown twin, pgvecto.rs 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 pgvecto.rs?

paradedb: Very active. pgvecto.rs: Dormant. 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 pgvecto.rs?

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