Supabase Vector VS Elasticsearch's vector database

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

Supabase Vector

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

Elasticsearch's vector database

Elasticsearch's vector database
Build vector search and hybrid search with Elasticsearch's open source vector database — from the leaders in BM25 text search. Try Elasticsearch's vector database, free....

Supabase Vector

Launched 2017-09-24
Pricing Model Free
Starting Price
Tech used Next.js,Vercel,Gzip,OpenGraph,Progressive Web App,RSS,Webpack,HSTS
Tag Vector Database

Elasticsearch's vector database

Launched 2010-7
Pricing Model Freemium
Starting Price
Tech used
Tag Vector Database

Supabase Vector Rank/Visit

Global Rank 13981
Country United States
Month Visit 3344710

Top 5 Countries

9.57%
7.73%
5.75%
5.2%
5.04%
United States Colombia Germany Brazil India

Traffic Sources

71.03%
22.4%
2.57%
2.29%
1.69%
0.01%
Direct Search Social Referrals Mail Paid Referrals

Elasticsearch's vector database Rank/Visit

Global Rank 27967
Country United States
Month Visit 2177898

Top 5 Countries

14.97%
14.16%
7.4%
4.26%
3.85%
United States China India France Korea, Republic of

Traffic Sources

55.79%
36.27%
5.39%
1.94%
0.5%
0.11%
Search Direct Referrals Social Mail Paid Referrals

What are some alternatives?

When comparing Supabase Vector and Elasticsearch's vector database, you can also consider the following products

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.

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

SvectorDB - SvectorDB allows you to set up a serverless vector database in under 120 seconds, perfect for RAG chatbots, document search, and recommendations.

SingleStore - Build on the only database that allows you to transact, analyze and contextualize your data in real time.

More Alternatives