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Vector search as a Postgres extension — no new database needed
Overall score
77/100
Verdict
Good
Pricing
Free
Performance radar — pgvector
Score breakdown
Developer UX
SDK quality, indexing API, and setup speed.
Source: RadarTrek research
Query Performance
ANN search speed and recall accuracy at scale.
Source: RadarTrek research
Scalability
Index size limits and horizontal scaling for billions of vectors.
Source: RadarTrek research
Price / Value
Cost per million vectors and free tier generosity.
Source: RadarTrek research
Hybrid Search
Combining vector similarity with keyword/metadata filtering.
Source: RadarTrek research
Ecosystem
LangChain/LlamaIndex integrations and framework support.
Source: RadarTrek research
pgvector adds vector similarity search directly to Postgres as an extension. If you already run Postgres (e.g. via Supabase or Neon), this avoids adding a separate vector database entirely.
In our independent evaluation across 6 scored dimensions, pgvector earns an overall score of 77/100 — a strong result in the vector databases category. The platform is available including a permanently free tier, accessible to teams at any budget level. The score of 77 places it in the good tier of our vector databases rankings, where we assess tools on criteria that matter to builders: developer ux, query performance, scalability, and more.
pgvector scores highest on Price / Value (96/100) and Hybrid Search (88/100), placing it among the stronger performers in those areas within the vector databases category. The dimensions with the most room for improvement are Scalability (65/100) and Query Performance (72/100) — teams who weight these criteria most heavily should compare pgvector carefully against alternatives before committing. The free entry point makes it easy to validate pgvector before committing to a paid plan — a practical advantage when evaluating a new tool category. Our recommendation: pgvector is worth a serious evaluation for teams that prioritise price / value — use the radar chart and dimension breakdown on this page to see at a glance whether its profile matches your priorities.
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Yes — pgvector is free to use with no trial period or credit card required. It offers a permanently free tier, though paid plans with higher limits or additional features are typically available. Check the official pricing page for current plan details.
pgvector scores highest on Price / Value in our independent assessment — 96/100, placing it among the stronger performers in this dimension within the vector databases category. Cost per million vectors and free tier generosity.. Teams who count price / value as a primary criterion should put pgvector high on their evaluation list.
The lowest-scoring dimension for pgvector in our testing is Scalability (65/100). This does not make it the wrong choice — if scalability is not a priority for your use case, the gap is irrelevant. But teams who weight scalability most heavily should compare pgvector carefully against alternatives before committing, using the radar chart on this page to see the full profile at a glance.
pgvector earns an overall RadarTrek score of 77/100 — a strong result in the vector databases category. Scores above 75 indicate a tool that performs well across most dimensions without a critical weakness. At 77/100, pgvector is a reliable choice for most teams evaluating this space. Scores are reviewed when significant updates are released, so the number reflects the current version of the product.
The best alternative to pgvector depends on which dimension matters most to you. Use the "Compare with" links in the sidebar to see a head-to-head radar chart against any specific competitor in the vector databases category. The main vector databases category page ranks all tools by overall score and lets you filter by dimension to find alternatives that lead on your priority criterion.
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