Lance Namespace

Lance Namespace is an open specification on top of the storage-based Lance data format to standardize access to a collection of Lance tables (a.k.a. Lance datasets). It describes how a metadata service like Apache Hive MetaStore (HMS), Apache Iceberg REST Catalog (IRC), Apache Gravitino, Unity Catalog, etc. should store and use Lance tables, as well as how ML/AI tools and analytics compute engines should integrate with Lance tables.

Why Namespace not Catalog?

There are many terms used to describe the concept of a container in database systems — such as namespace, catalog, schema, database, metastore, and metalake. Among these, namespace and catalog have become the most prominent in modern lakehouse architectures.

The term catalog typically implies a hierarchical structure with at least two levels. For example, Apache Hive uses a catalog → database → table model, while Apache Iceberg’s REST catalog adopts a catalog → multi-level namespace → table hierarchy.

In contrast, the ML and AI communities tend to favor a flatter organizational model. It’s common to store datasets in simple directories and categorize them using flexible systems like tagging, rather than rigid hierarchies.

To better support this usage pattern, Lance adopts the term namespace to represent all container concepts — including what would traditionally be called a catalog. With Lance Namespace, we provide a flexible, multi-level namespace abstraction that allows users to structure and manage Lance datasets in ways that best align with their data organization strategies.