TopK vs VectorDB Comparison in 2025

TopK

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TopK is a cloud-native database intended for search use cases. It comes with keyword search, vector search, and metadata filtering built-in.

VectorDB

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

TopK

Launched	2024-11
Pricing Model	Free Trial
Starting Price
Tech used	Framer,Google Fonts,Gzip,HTTP/3,OpenGraph,HSTS
Tag	Data Science,Semantic Search,Vector Database

VectorDB

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

TopK Rank/Visit

Global Rank	4987048
Country	United States
Month Visit	3343

Top 5 Countries

74.85%

13.04%

12.11%

United States United Kingdom Czech Republic

Traffic Sources

2.61%

0.41%

0.08%

5.54%

12.57%

78.45%

social paidReferrals mail referrals search direct

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

Estimated traffic data from Similarweb

What are some alternatives?

When comparing TopK and VectorDB, you can also consider the following products

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.

DeepSearcher - DeepSearcher: AI knowledge management for private enterprise data. Get secure, accurate answers & insights from your internal documents with flexible LLMs.

Spykio - Spykio: Get truly relevant LLM answers. Context-aware retrieval beyond vector search. Accurate, insightful results.

R2R - SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.