Lantern VS Pgvectorscale

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

Lantern

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

Pgvectorscale

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

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

Pgvectorscale

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

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

Pgvectorscale Rank/Visit

Global Rank
Country
Month Visit

Top 5 Countries

Traffic Sources

Estimated traffic data from Similarweb

What are some alternatives?

When comparing Lantern and Pgvectorscale, you can also consider the following products

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.

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.

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

More Alternatives