Lancedb VS Seekdb

Let’s have a side-by-side comparison of Lancedb vs Seekdb to find out which one is better. This software comparison between Lancedb and Seekdb 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 Lancedb or Seekdb fits your business.

Lancedb

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

Seekdb

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.

Lancedb

Launched 2023-03
Pricing Model Freemium
Starting Price
Tech used Google Analytics,Google Tag Manager,Amazon AWS CloudFront,Google Fonts,JSON Schema,OpenGraph,Progressive Web App,Amazon AWS S3
Tag Vector Database

Seekdb

Launched 2023-03
Pricing Model Free
Starting Price
Tech used
Tag

Lancedb Rank/Visit

Global Rank 542988
Country United States
Month Visit 67040

Top 5 Countries

30.75%
15.64%
6.45%
5.81%
4.48%
United States India Nigeria United Kingdom Vietnam

Traffic Sources

2.49%
0.95%
0.1%
7.7%
46.05%
42.64%
social paidReferrals mail referrals search direct

Seekdb Rank/Visit

Global Rank
Country
Month Visit

Top 5 Countries

Traffic Sources

Estimated traffic data from Similarweb

What are some alternatives?

When comparing Lancedb and Seekdb, you can also consider the following products

Activeloop - Activeloop-L0: Your AI Knowledge Agent for accurate, traceable insights from all multimodal enterprise data. Securely in your cloud, beyond RAG.

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

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

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!

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