LanceDB vs Zilliz

Side-by-side comparison of LanceDB and Zilliz: pricing, features, API access, and community ratings.

AI comparison summary

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	LanceDB Multimodal Lakehouse for AI Visit	Zilliz The Vector Lakebase for AI — real-time serving, iterative discovery, and batch analytics at hundred-billion scale Visit
Category	Vector databases	Vector databases
Pricing	Freemium	Freemium
Starting price
Free tier
Audience	All audiences	All audiences
API available
Open source
Self-hostable
Model provider
Founded		2017
Headquarters		San Francisco, USA
Key strengths	·Multimodal data curation and deduplication ·Unified vector, full-text, and hybrid search with SQL filters ·Feature engineering with Python UDFs and automatic updates ·Training directly from curated data with up to 70% MFU	·Billion-scale vector similarity search ·Fully managed Vector Lakebase (real-time serving, iterative discovery, batch analytics) ·Lake-native storage on S3 with up to 90% cost reduction ·Full-spectrum search (vector, full-text, JSON, geospatial, hybrid retrieval)