Pipelines fail because the target table doesn't exist yet.
DDL-First Pipelines
Mix DDL and DML in one SQL file — schema changes are recognised, approved, and deployed separately from data loads.
Plan
Real pipelines rarely contain pure DML. New tables, new columns, CTAS statements live alongside the inserts that fill them. BoltPipeline classifies every statement, peels schema changes into a governed deploy step, and preserves your exact DDL on the way to the warehouse.
What it solves
Common problems this capability removes from your engineering workflow.
DBAs ask for the same DDL twice, once for review, once for prod.
CTAS, ALTER, and DROP are treated as opaque text by other tools.
Schema deploys run automatically when nobody wanted them to.
How it works
The flow this capability runs end-to-end inside the platform.
- 1Each statement is tagged as schema change or data load at upload.
- 2Schema changes need explicit operator approval before deploy.
- 3Production environments can opt out and hand DDL to your CI/CD.
- 4After a schema deploy, certification re-runs against the new shape.
Related capabilities
Other capabilities in the BoltPipeline platform that work alongside this one.
1Intelligent Pipeline
Plan, Enrich, Certify, Operate
One lifecycle takes your SQL from upload to live data load — every check runs before the first row moves.
1Intelligent PipelinePipeline Promotion
Move a certified pipeline from dev to prod through a request-approve-execute workflow with separation of duties.
2Validation &Schema Drift Detection
Catch schema changes the moment they land — classified by impact, tied to lineage, and shown across environments.
See it on your data.
Try BoltPipeline against your live database — your data never leaves your environment.