Lance Namespace Implementations - Apache Hive, Apache Polaris, Apache Gravitino, Unity Catalog, AWS Glue and more

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..

Spark integrations for working with Lance datasets

Manage Multimodal Agentic Context Lifecycle with Lance

Integration between Lance and Ray for distributed data processing

Trino Lance Connector

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

Apache Flink Connector for Lance Vector Database

LanceDB huggingface datasets

TensorFlow integration for Lance datasets