VectorDB VS Elasticsearch's vector database

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

VectorDB

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

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....

VectorDB

Launched 2014-05
Pricing Model Free
Starting Price
Tech used Gzip,Nginx
Tag Semantic Search,Vector Database,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

VectorDB Rank/Visit

Global Rank 2833766
Country United States
Month Visit 7523

Top 5 Countries

29.83%
29.54%
18.98%
13.23%
6.99%
United States India Indonesia Canada Japan

Traffic Sources

6.31%
1.13%
0.06%
5.55%
68.78%
18.17%
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 VectorDB and Elasticsearch's vector database, you can also consider the following products

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

SvectorDB - SvectorDB allows you to set up a serverless vector database in under 120 seconds, perfect for RAG chatbots, document search, and recommendations.

Seekdb - OceanBase seekdb is an open-source, AI-native search database that unifies relational, vector, text, JSON and GIS in a single engine, enabling hybrid search and in-database AI workflows.

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

More Alternatives