Vector database for Relevance AI VS SingleStore

Let’s have a side-by-side comparison of Vector database for Relevance AI vs SingleStore to find out which one is better. This software comparison between Vector database for Relevance AI and SingleStore 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 Vector database for Relevance AI or SingleStore fits your business.

Vector database for Relevance AI

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

SingleStore

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

Vector database for Relevance AI

Launched 2018-04
Pricing Model Free Trial
Starting Price
Tech used Google Analytics,Google Tag Manager,HubSpot Analytics,Webflow,Amazon AWS CloudFront,Cloudflare CDN,JSDelivr,Google Fonts,jQuery,Gzip,HTTP/3,OpenGraph,HSTS
Tag Data Science,Vector Database,Data Analysis

SingleStore

Launched 2004-02
Pricing Model Free Trial
Starting Price
Tech used Amazon AWS CloudFront,OpenGraph,Progressive Web App,Webpack,HSTS,Nginx
Tag Vector Database

Vector database for Relevance AI Rank/Visit

Global Rank 65699
Country United States
Month Visit 619033

Top 5 Countries

15.11%
13.77%
7.34%
5.26%
5.08%
United States India United Kingdom Cambodia Australia

Traffic Sources

2.28%
0.63%
0.09%
5.34%
42.91%
48.75%
social paidReferrals mail referrals search direct

SingleStore Rank/Visit

Global Rank 175208
Country United States
Month Visit 182575

Top 5 Countries

33.56%
7.65%
3.13%
3.05%
2.86%
United States India Russia United Kingdom Germany

Traffic Sources

2.65%
0.63%
0.09%
7.39%
46.67%
42.57%
social paidReferrals mail referrals search direct

Estimated traffic data from Similarweb

What are some alternatives?

When comparing Vector database for Relevance AI and SingleStore, 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.

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....

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

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.

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

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