Vector search for your data lake: Query embeddings where they live.

Your embeddings shouldn't leave the lake. LanceDB adds vector search directly on object storage with up to 1000x faster random access than Parquet. Works alongside ClickHouse, Trino, DuckDB.

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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

Optimized for

OLAP analytics

Vector search and serving.

Latency

Analytics batch queries

Real-time millsecond queries.

Vector via approximate functions

Native vector + full-text + SQL hybrid in one query.

Random access

Scan-based

O(1) row lookups. Up to 1000x faster than Parquet.

Best for

Vector analytics on historical data

Real-time vector retrieval with hybrid search.

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

Role

Query engine

Storage format + query engine.

Storage

Queries Parquet, Iceberg, etc.

Lance format - optimized for vectors and random access.

Random access

Scan-based

O(1) row lookups. Up to 1000x faster than Parquet.

SQL queries over columnar data

Native vector + full-text + SQL hybrid in one query.

Best for

Federated queries across formats

Vector-native storage for Trino and beyond.

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

Deployment

Local/embedded only

Embedded to cloud-scale.

Scale

Single-node

20 PB largest table. 20K+ QPS. Billions of vectors.

Basic similarity via extensions

Native vector + full-text + SQL hybrid in one query.

Random access

Scan-based on Parquet

O(1) row lookups. Up to 1000x faster than Parquet.

Best for

Local analytics and prototyping

Prototype locally, scale to production.

Talk to Engineering

Or try LanceDB OSS — same code, scales to Cloud.

Schedule a Technical Consultation