pgvector vs Qdrant: Which Is More Actively Maintained? Live GitHub Data
pgvector is an extension that adds vector similarity search to PostgreSQL, while Qdrant is a standalone vector search engine. Choosing between them is often a choice between keeping vectors in your existing database or running a dedicated service. This page compares how actively each project is maintained, using live data from GitHub.
GitHub data checked 18 minutes ago.
Side by side
| Measure | pgvector | Qdrant |
|---|---|---|
| Status | Active | Active |
| Commits, last 91 days | 118 | 709 |
| Same 91 days a year earlier | 32 | 347 |
| Change vs last year | +269% | +104% |
| Last commit | 1 Oct 2026 | 18 Oct 2026 |
| GitHub stars | 23,400 | 35,128 |
| Stars gained, daily snapshots | +24 in 2 days | +27 in 2 days |
| Licence | Custom | Apache-2.0 |
| Managed cloud | Not checked | Not checked |
| Visitor rating | —0 of 3 ratings needed | —0 of 3 ratings needed |
What the numbers say
In the last 91 days, pgvector’s default branch received 118 commits and Qdrant’s received 709. That is about 6.0 times as many for Qdrant, though projects that squash each pull request into one commit show fewer commits for the same work, so treat the gap as a rough signal. Against the same 91 days a year earlier, pgvector is at +269% and Qdrant at +104%. The index labels both “active”. pgvector has 23,400 GitHub stars and Qdrant has 35,128; stars show how many people bookmarked a project, not how many use it. Their licences differ: pgvector uses a non-standard licence and Qdrant uses Apache-2.0. GitHub does not recognise pgvector’s licence as a standard one, so read it before commercial use.
What this comparison does not tell you
These are maintenance signals only. They do not measure speed, output quality, features, documentation or how easy either tool is to run, and we have not benchmarked either tool for this page. A quiet repository can still be a good fit for a stable job, and a busy one can still break between releases. Use the numbers to decide what to check next, not which tool is better.
Each tool’s full record
Related comparisons
How this is measured: commits on each repository’s default branch counted through the GitHub API, the last 91 days against the same 91 days a year earlier; stars, licence and archived flag from the repository; README checked daily for maintenance notices. Visitor ratings come from visitors to each tool’s page, not from EvalAITools.