Lantern VS Vectara

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

Lantern

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

Vectara

Vectara
Create powerful chatbot experiences with Vectara, a GenAI platform. Its features include encoding, indexing, retrieval, and cross-language search. Supercharge your development with Vectara's LLM-powered hybrid search capabilities for highly relevant results. Collaboration made easy with API-based approach.

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

Vectara

Launched 2014-02
Pricing Model Paid
Starting Price
Tech used WordPress,MathJax,AdRoll,AppNexus,Clearbit Reveal,Facebook,Font Awesome,Google Analytics,Google Font API,Google Tag Manager,HubSpot Analytics,Linkedin Insight Tag,OpenX,PubMatic,Rubicon Project,Slick,Typekit,jQuery,jQuery Migrate
Tag Data Analysis,Chatbot Builder,Knowledge Management

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

Vectara Rank/Visit

Global Rank 779813
Country United States
Month Visit 41147

Top 5 Countries

28.3%
9.51%
7.45%
6.19%
5.69%
United States India Brazil Vietnam Germany

Traffic Sources

3.39%
0.95%
0.1%
8.22%
45.03%
42.29%
social paidReferrals mail referrals search direct

Estimated traffic data from Similarweb

What are some alternatives?

When comparing Lantern and Vectara, 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.

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