Supabase Vector VS Pgvector

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

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.

Pgvector

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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

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

Pgvector

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

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

Pgvector Rank/Visit

Global Rank	0
Country
Month Visit	0

Top 5 Countries

Traffic Sources

Estimated traffic data from Similarweb

What are some alternatives?

When comparing Supabase Vector and Pgvector, 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.

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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Supabase Vector VS Vector database for Relevance AI