databricks/dbt-databricks v1.11.0 on GitHub

Support databricks_tags for MV/STs
Add support for scalar SQL functions (SQL UDFs) (1197)
Add liquid clustering config for materialized views and streaming tables (thanks @reflection!) (1101)
Add official support for insert_overwrite incremental strategy for SQL warehouses. This strategy now uses REPLACE ON syntax for all compute types (previously INSERT OVERWRITE). This behavior is gated behind behavior flag use_replace_on_for_insert_overwrite which defaults true (1025)
Add support for Databricks query tags; NOTE: This feature is still in private preview, so it is not generally usable from the adapter yet.
Add support for managed iceberg when table_format is set to iceberg. This behavior is gated behind behavior flag use_managed_iceberg which defaults to false
Support delete+insert incremental strategy (thanks @canbekley!) (1217); if you have a current DBR (17.1+), this uses REPLACE ON for efficient replacement. Otherwise uses a 'delete from' statement follow by an insert statement (i.e. it is not atomic).

BREAKING: Fix column order mismatch bug in incremental models by using INSERT BY NAME syntax (#1211)
- When using on_schema_change: sync_all_columns, dbt previously used positional column matching in INSERT statements, causing values to be inserted into wrong columns when column order changed
- Now uses Databricks INSERT BY NAME syntax to match columns by name instead of position, preventing data corruption
- Breaking Change: Requires Databricks Runtime 12.2 LTS or higher
- Users on older runtimes should pin to dbt-databricks 1.10.x
- Affects all incremental strategies: append, insert_overwrite, replace_where, and merge (via table creation)
Fix case-sensitivity issues with column name handling in persist_docs and config diff operations (#1215)
- Fixed KeyError when column names in models had different casing than YAML schema definitions
- Improved efficiency of column tags and comments change detection to use case-insensitive comparison
Use backtick quoting for everything to avoid errors with special characters (1186)
Ensure column compare always uses lower case names (since Databricks stores internally as lower case) (1190)
Fix incompatible schema error during streaming table creation (1235)
Reintroduce support for external table type so as not to break users (1240)

Materialized views now uses CREATE OR REPLACE where appropriate, instead of DROP + CREATE
Refactor to use Databricks SDK for API calls (1185)
Update dependency versions, and start using uv (1199)
Upgrade ruff and mypy (1207)
Allow create or replace semantics on full refresh in Mat V2 (1210)
Add centralized DBR capability system for managing version-dependent features with per-compute caching (#1218)
BREAKING: Removing the 'use_info_schema_for_columns' behavior flag, as we have a better mechanism for getting complex type information - DESCRIBE EXTENDED ... AS JSON. This is a breaking change because it requires a modern DBR (or SQL Warehouse) in order to function (1226). If this is breaking for you, you will either need to upgrade your cluster to 16.4+ or pin dbt-databricks to 1.10.x.
Use atomic CREATE OR REPLACE instead of DROP + CREATE for managed Iceberg tables
BREAKING: Drop support for python 3.9, adds 3.13 (1240)
BREAKING: Flipping the default for USE_USER_FOLDER_FOR_PYTHON to true (1248)