What causes Database Error?

SQL syntax error that only becomes apparent at execution time (e.g., database-specific functions not supported). Referenced table or column does not exist in the target schema. Insufficient privileges for the dbt service account to create, replace, or read objects. Data type mismatch during INSERT or MERGE operations in incremental models. Warehouse-side resource limits exceeded (query timeout, memory limit, concurrent query cap)

How do I fix Database Error?

Open the dbt Cloud run logs and find the 'Database Error' block — copy the full SQL that was executed and run it directly in your warehouse query editor.. Check whether the object referenced exists: `SELECT * FROM information_schema.tables WHERE table_name = ' '`.. Verify the dbt service account has the necessary privileges: CREATE TABLE, CREATE VIEW, SELECT on source schemas.. For incremental models, check whether a schema change has occurred in the source that breaks the merge key or column alignment — run with `--full-refresh` to rebuild.. If the error is a warehouse timeout, check query complexity and whether the model can be split into smaller steps or materialized as a table instead of a view.

High severitydbt

Power BI Refresh Error:
Database Error

What does this error mean?

The compiled SQL was sent to the warehouse but the database returned an error during execution. The model failed at the warehouse level — dbt compiled successfully but the SQL itself could not execute.

Common causes

1SQL syntax error that only becomes apparent at execution time (e.g., database-specific functions not supported)
2Referenced table or column does not exist in the target schema
3Insufficient privileges for the dbt service account to create, replace, or read objects
4Data type mismatch during INSERT or MERGE operations in incremental models
5Warehouse-side resource limits exceeded (query timeout, memory limit, concurrent query cap)

How to fix it

1Open the dbt Cloud run logs and find the 'Database Error' block — copy the full SQL that was executed and run it directly in your warehouse query editor.
2Check whether the object referenced exists: `SELECT * FROM information_schema.tables WHERE table_name = '<table>'`.
3Verify the dbt service account has the necessary privileges: CREATE TABLE, CREATE VIEW, SELECT on source schemas.
4For incremental models, check whether a schema change has occurred in the source that breaks the merge key or column alignment — run with `--full-refresh` to rebuild.
5If the error is a warehouse timeout, check query complexity and whether the model can be split into smaller steps or materialized as a table instead of a view.

Frequently asked questions

My model ran fine yesterday but fails today with a Database Error — what changed?

Common causes: upstream schema change (column renamed or dropped), permission change, or warehouse resource limit. Check dbt source freshness and compare the current schema to what the model expects.

Does `dbt run --full-refresh` fix incremental model database errors?

Often yes for schema mismatch — full-refresh drops and rebuilds the table, eliminating column drift. It reprocesses all historical data, which can be expensive for large tables.

How do I tell whether the Database Error is a permissions problem or a SQL problem?

Copy the failing SQL from the run logs and run it in your warehouse query editor as the same service account. A permissions error points to access issues; a syntax or object-not-found error points to the SQL.

Official documentation: https://docs.getdbt.com/guides/debug-errors