Pipelines fail at runtime because nobody checked the target schema.
Plan, Enrich, Certify, Operate
One lifecycle takes your SQL from upload to live data load — every check runs before the first row moves.
Most platforms scatter parsing, schema checks, data-quality rules, and impact analysis across four tools. BoltPipeline runs all of it through one lifecycle — Plan, Enrich, Certify, Operate. By the time a pipeline is ready to run, every statement has been parsed, every column type-matched, and every rule evaluated against your live warehouse.
What it solves
Common problems this capability removes from your engineering workflow.
Mapping errors aren't found until dashboards go red.
Certification and execution live in different tools with different logic.
Engineers ship to prod hoping the test ran somewhere.
How it works
The flow this capability runs end-to-end inside the platform.
- 1Upload SQL. Each statement is parsed and classified automatically.
- 2Source and target schemas are discovered. SCD logic is generated.
- 3Every rule runs and the generated DML is dry-run as a reader.
- 4Only then does Operate execute against your warehouse.
Related capabilities
Other capabilities in the BoltPipeline platform that work alongside this one.
DDL-First Pipelines
Mix DDL and DML in one SQL file — schema changes are recognised, approved, and deployed separately from data loads.
1Intelligent PipelineImpact Analyzer
Paste any SQL change and see which pipelines, tables, and dashboards break — before you deploy.
1Intelligent PipelineDeploy Impact
Every analyzed change becomes a numbered, durable Deploy Impact you can iterate on until breakage hits zero.
See it on your data.
Try BoltPipeline against your live database — your data never leaves your environment.