Releasesby Ibisdbt Core dbt v1.11.16
Update10 days agoUnverifiedAdded Oct 17, 2026
dbt-core 1.11.16 - October 14, 2026 Fixes Bare wildcard FQN selectors (e.g. -s "f_*") now match nested models regardless of subfolder depth (#) Include semantic_manifest.json in the artifact set uploaded by --upload-to-artifacts-ingest-api, matching other run artifacts (#N/A) Validate that tarball package download locations stay within the dbt downloads...
Topics: Data integration, Developer tools
More dbt Core releases
Every dbt Core releasedbt Core 2.0.8
2.0.8 Released October 14, 2026 Features Lower the minimum supported Python version for the dbt and dbt-oss PyPI wheels to 3.10 Fixes Fix spurious TableNotFound errors during analyze caused by MapReduce silently dropping a key claimed by a worker whose connection report the driver had not yet observed dbt build --write-catalog writes catalog.json again...
dbt Core dbt v1.12.6
dbt-core 1.12.6 - October 14, 2026 Features Announce dbt v2 availability as an INFO message on dbt --version, with a link to the v2 install docs (#) Fixes Relay the v2 (Fusion) parser's log output via --log-format otel instead of json-compat, dropping span noise, keeping fusion's error/warning codes, and fixing a latent bug where a stray fusion stderr line...
dbt Core 2.0.0-dev.41-test-pypi
2.0.0-dev.41 Released September 23, 2026 Features [Lake Compute] Read AWS Databricks Unity Catalog tables using Databricks profile PAT/OAuth M2M credentials, declaration-aware validation, and dbt debug attach parity. Existing fs catalogs.yml entries continue to use type: unity .
dbt Core 2.0.5
2.0.5 Released September 18, 2026 Fixes Both Legacy/Foundry BigQuery drivers now continue on ADBC.GetObjects 404/403. This fixes a possible usage of "REPLACE TABLE" instead of "MERGE" for incremental tables ( #16331 ) Contributors @serramatutu ( #16331 )
dbt Core 2.0.4
2.0.4 Released September 16, 2026
dbt Core 2.0.3
2.0.3 Released September 15, 2026 Under the Hood Add PyPI banner for dbt-oss mirroring the existing dbt-core banner, without the dbt-core namespace deprecation notice Contributors @tauhidanjum
dbt Core dbt v2.0.0
dbt 2.0.0 - Benjamin Franklin (September 14, 2026) Features Install agent skills (AgentSkills-format SKILL.md directories) from installed packages and the project's own skill-paths when packages are installed, gated on the new ai_provider flag.
dbt Core 2.0.2
2.0.2 Released September 15, 2026 Fixes Restore the bundled docs UI in the Python wheel builds, so dbt docs generate produces a working docs site again for pip-installed dbt. Contributors @mishamsk
Also shipped on Oct 14, 2026
dbt Labs in October 2026Workspace-level package repositories for Databricks Apps are generally available
Workspace admins can now configure default Python and npm package repositories for Databricks Apps. Apps inherit the workspace configuration while still allowing app-level overrides. See Configure default package repositories .
The Apache Hive catalog endpoint in the Lakehouse runtime catalog is now generally available (GA)
The Apache Hive catalog endpoint in the Lakehouse runtime catalog is now generally available (GA). This integration lets you use the metastore as a serverless, central metadata layer, enabling seamless data sharing and unified querying across Apache Spark, Apache Hive, and BigQuery.
Metadata migration from Dataproc Metastore to Lakehouse is now generally available (GA)
Metadata migration from Dataproc Metastore to Lakehouse is now generally available (GA). You can perform a one-time backfill migration or dry run to migrate metadata from a Dataproc Metastore service to an Apache Iceberg REST catalog endpoint or a Hive catalog endpoint using the Google Cloud console, the gcloud CLI, or the REST API.
Conversational analytics now lets you create a conversation with all of the data sources in multiple...
Conversational analytics now lets you create a conversation with all of the data sources in multiple projects, or create a conversation with a dataset . These features are generally available (GA).
You can publish a BigQuery Conversational Analytics agent in Gemini Enterprise
You can publish a BigQuery Conversational Analytics agent in Gemini Enterprise . This feature is now generally available (GA).
The AI.AGG function now supports the output_schema argument, which lets you specify the schema of the...
The AI.AGG function now supports the output_schema argument, which lets you specify the schema of the function output as a comma-separated list of fields. This feature is generally available (GA).