Lantern
Elasticsearch's vector 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 |
Elasticsearch's vector database
| Launched | 2010-7 |
| Pricing Model | Freemium |
| Starting Price | |
| Tech used | Google Analytics,Google Tag Manager,Optimizely,Google Fonts,Next.js,Emotion,Gzip,JSON Schema,OpenGraph,Progressive Web App,Varnish,Webpack,HSTS |
| Tag | Vector Database,Data Analysis |
Lantern Rank/Visit
| Global Rank | 4516482 |
| Country | India |
| Month Visit | 3423 |
Top 5 Countries
Traffic Sources
Elasticsearch's vector database Rank/Visit
| Global Rank | 29863 |
| Country | United States |
| Month Visit | 1706536 |
Top 5 Countries
Traffic Sources
Estimated traffic data from Similarweb
What are some alternatives?
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.