Data Science & Analytics
Atlas Databricks
Databricks specifics for Atlas: the extended binary and login, connection URLs and scope (catalog vs schema), the dev catalog (no Docker), Delta table properties, managed and external tables, partitioning and liquid clustering, generated and identity columns, defaults and column mapping, renames, informational keys and checks, collations, column masks and row filters, views and materialized views, SQL and Python functions, procedures, Unity Catalog grants, no transactions and no locks, partial failures, schema and migration tests, and custom lint rules. Use with the atlas skill whenever Atlas manages a Databricks database.
- Publisher / source
- ariga/atlas (found on GitHub top repositories)
- Upstream record
- ariga/atlas
- Version
- Version 1
- Published
- Publication review
- Approved for publication · recorded passed scan 2026-11-04
- Content fingerprint
691a741d51c0b7430ac49a40a23650bffb238209b73e563332995e078bfe492c