Elasticsearch's vector database VS Supabase Vector

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

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

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

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

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 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

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

What are some alternatives?

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

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

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

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

Milvus - Discover Milvus, the popular vector database for enterprise users. Store, index, and manage large-scale embedding vectors with ease. Boost retrieval speed and create similarity search services using Milvus' advanced SDKs and indexing algorithms. Perfect for machine learning deployments and managing large-scale vector datasets.

More Alternatives