SvectorDB VS Elasticsearch's vector database

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

SvectorDB

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

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....

SvectorDB

Launched 2023-12
Pricing Model Free Trial
Starting Price
Tech used Google Tag Manager,Amazon AWS CloudFront,Emotion,Atom,Gzip,HTTP/3,OpenGraph,RSS,Amazon AWS S3
Tag Vector Database,Data Analysis,Data Provider

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

SvectorDB Rank/Visit

Global Rank 9683725
Country India
Month Visit 1601

Top 5 Countries

46.56%
35.92%
17.52%
India Nigeria United States

Traffic Sources

5.21%
1.54%
0.31%
13.96%
40.43%
37.86%
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 SvectorDB and Elasticsearch's vector database, you can also consider the following products

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

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

SingleStore - Build on the only database that allows you to transact, analyze and contextualize your data in real time.

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.

More Alternatives