Lantern VS Pgvecto.rs

Let’s have a side-by-side comparison of Lantern vs Pgvecto.rs to find out which one is better. This software comparison between Lantern 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 Lantern or Pgvecto.rs fits your business.

Lantern

Lantern
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Lantern is a Postgres vector database that is scalable, cost-effective, and easy to use

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.

Lantern

Launched 2023-6
Pricing Model Free
Starting Price
Tech used Next.js,Vercel,Gzip,OpenGraph,Webpack,HSTS
Tag Vector Database,Data Integration,Data Analysis

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

Lantern Rank/Visit

Global Rank 4516482
Country India
Month Visit 3423

Top 5 Countries

61.99%
35.27%
2.75%
India United States France

Traffic Sources

5.29%
1.09%
0.07%
7.29%
50.24%
36.01%
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 Lantern 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.

Lancedb - LanceDB: Blazing-fast vector search & multimodal data lakehouse for AI. Unify petabyte-scale data to build & train production-ready AI apps.

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

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