Pgvector VS Supabase Vector

Let’s have a side-by-side comparison of Pgvector vs Supabase Vector to find out which one is better. This software comparison between Pgvector and Supabase Vector 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 Pgvector or Supabase Vector fits your business.

Pgvector

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.

Supabase Vector

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

Pgvector

Launched 2023
Pricing Model Free
Starting Price
Tech used
Tag Data Science,Vector Database,Data Analysis

Supabase Vector

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

Pgvector Rank/Visit

Global Rank 0
Country
Month Visit 0

Top 5 Countries

Traffic Sources

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

Estimated traffic data from Similarweb

What are some alternatives?

When comparing Pgvector and Supabase Vector, you can also consider the following products

Pgvecto.rs - 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.

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

VectorChord - VectorChord is a high-performance PostgreSQL extension for vector similarity search. Enhanced speed, scalability & affordability. Ideal for e-commerce, research & media.

clientvectorsearch - Discover the client-vector-search library: embed, store, search, and cache vectors effortlessly. Enhance your applications with efficient vector search capabilities.

More Alternatives