Supabase Vector VS Pgvecto.rs

Let’s have a side-by-side comparison of Supabase Vector vs Pgvecto.rs to find out which one is better. This software comparison between Supabase Vector and Pgvecto.rs is based on genuine user reviews. Compare software prices, features, support, ease of use, and user reviews to make the best choice between these, and decide whether Supabase Vector or Pgvecto.rs fits your business.

Supabase Vector

Supabase Vector
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Build powerful AI applications with Supabase Vector. Store, query, and index vector embeddings using Postgres and Supabase's AI toolkit.

Pgvecto.rs

Pgvecto.rs
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PGVecto.rs is a Postgres extension that enables scalable vector search, allowing you to build powerful similarity-based applications on top of your Postgres database.

Supabase Vector

Launched 2017-09
Pricing Model Free
Starting Price
Tech used Next.js,Vercel,Progressive Web App,RSS,Webpack,HSTS
Tag Vector Database

Pgvecto.rs

Launched
Pricing Model Freemium
Starting Price
Tech used Google Analytics,Google Tag Manager,Framer,Google Fonts,Gzip,HTTP/3,OpenGraph,HSTS
Tag Vector Database,Data Analysis,Sql Assistant

Supabase Vector Rank/Visit

Global Rank 2384
Country United States
Month Visit 14491339

Top 5 Countries

19.85%
9.15%
6.19%
4.27%
2.92%
United States India Brazil United Kingdom France

Traffic Sources

0.58%
0.19%
0.03%
5.7%
26.61%
66.88%
social paidReferrals mail referrals search direct

Pgvecto.rs Rank/Visit

Global Rank 6355648
Country France
Month Visit 149

Top 5 Countries

100%
France

Traffic Sources

4.66%
1.01%
0.48%
14.26%
43.83%
34.93%
social paidReferrals mail referrals search direct

Estimated traffic data from Similarweb

What are some alternatives?

When comparing Supabase Vector and Pgvecto.rs, you can also consider the following products

pgvectorscale - pgvectorscale builds on pgvector with higher performance embedding search and cost-efficient storage for AI applications.

pgvector - pgvector: An open-source vector similarity search tool for Postgres. Store vectors with data, support exact & approximate search, and perform distance calculations. Suitable for recommendation systems, image/text retrieval, and anomaly detection.

VectorDB - VectorDB is a simple, lightweight, fully local, end-to-end solution for using embeddings-based text retrieval.

Vector database for Relevance AI - Use managed or self-hosted vector databases to give LLMs the ability to work on YOUR data & context.

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