Qdrant VS Elasticsearch's vector database

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

Qdrant

Qdrant
Qdrant is a vector database for storing, searching, and managing high - dimensional vectors. It offers efficient storage, fast similarity search, scalability, and rich API. Ideal for AI, ML, and NLP applications. Click to learn more!

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....

Qdrant

Launched 2020-10
Pricing Model Freemium
Starting Price
Tech used Google Analytics,Google Tag Manager,Hugo,Google Fonts,Netlify,Clipboard.js,jQuery,Polyfill.io,Splide,JSON Schema,OpenGraph,Progressive Web App,RSS,HSTS
Tag Vector Database

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

Qdrant Rank/Visit

Global Rank 141022
Country India
Month Visit 357130

Top 5 Countries

15.36%
12.72%
5.31%
3.77%
3.13%
India United States Germany China Spain

Traffic Sources

3.02%
0.79%
0.09%
8.21%
51.92%
35.97%
social paidReferrals mail referrals search direct

Elasticsearch's vector database Rank/Visit

Global Rank 29863
Country United States
Month Visit 1706536

Top 5 Countries

19.96%
8.53%
6.12%
4.67%
3.7%
United States China India Korea, Republic of United Kingdom

Traffic Sources

1.77%
0.82%
0.05%
7.31%
51.58%
38.46%
social paidReferrals mail referrals search direct

Estimated traffic data from Similarweb

What are some alternatives?

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

Zilliz - Supercharge your AI applications with Zilliz's Milvus vector database. Deploy and scale your vector search apps hassle-free with Zilliz Cloud.

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

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

Vectorize - Solve AI hallucinations. Vectorize powers accurate, real-time AI agents & RAG pipelines with all your organizational data, including complex documents.

VectorDB - VectorDB is a simple, lightweight, fully local, end-to-end solution for using embeddings-based text retrieval.

More Alternatives