Lance Format

Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..

Manage Multimodal Agentic Context Lifecycle with Lance

The lance extensions for DuckDB enable reading and writing of lance tables.

Lance Go Binding

The C binding to Lance.

Trino Lance Connector

Integration between Lance and Ray for distributed data processing

Spark integrations for working with Lance datasets

Apache Flink Connector for Lance Vector Database

LanceDB huggingface datasets