Vector search at scale. Without the RAM tax.

LanceDB runs on object storage with low-latency random access. You get the performance — without costs that scale linearly with your data.

Tomorrow's AI is being built on LanceDB today

ClickHouse for analytics. LanceDB for vector serving.

ClickHouse is an analytics powerhouse. But vector search is a serving workload, not an analytics workload. Use ClickHouse for analysis, LanceDB for real-time retrieval with native hybrid search.

ClickHouse LanceDB
Cost at scale RAM-bound — costs grow with data Object storage with low-latency random access. Up to 100x savings.
Scale Limited public benchmarks 20 PB largest table. 20K+ QPS. Netflix, Uber, Exa in production.
Data Handling Vectors only — raw data lives elsewhere Raw data, embeddings, and features in one table
Workloads Search only Search, analytics, feature engineering, training

LanceDB: the best storage layer for Trino vector queries

Trino is a query engine, not a storage format. LanceDB's Lance format is optimized for the fast random access that vector search requires. Query Lance tables through Trino.

Trino LanceDB
Cost at scale RAM-bound — costs grow with data Object storage with low-latency random access. Up to 100x savings.
Scale Limited public benchmarks 20 PB largest table. 20K+ QPS. Netflix, Uber, Exa in production.
Data Handling Vectors only — raw data lives elsewhere Raw data, embeddings, and features in one table
Workloads Search only Search, analytics, feature engineering, training

DuckDB for laptop analytics. LanceDB for production AI.

DuckDB is fantastic for local analytics. LanceDB has the same embedded simplicity, but scales to production — cloud storage, distributed queries, billions of vectors, native hybrid search.

DuckDB LanceDB
Cost at scale RAM-bound — costs grow with data Object storage with low-latency random access. Up to 100x savings.
Scale Limited public benchmarks 20 PB largest table. 20K+ QPS. Netflix, Uber, Exa in production.
Data Handling Vectors only — raw data lives elsewhere Raw data, embeddings, and features in one table
Workloads Search only Search, analytics, feature engineering, training
noize

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