Impact analyses get computed and thrown away.
Deploy Impact
Every analyzed change becomes a numbered, durable Deploy Impact you can iterate on until breakage hits zero.
Plan
One-shot impact analysis vanishes the moment you close the tab. Deploy Impact gives every SQL change a name, a number, and a memory — see your fixes converge across iterations, share a URL with reviewers, and tie the green light to your merge.
What it solves
Common problems this capability removes from your engineering workflow.
Reviewers have no shareable record of pre-deploy checks.
Convergence over multiple iterations is invisible.
Compliance can't prove the change was checked before it shipped.
How it works
The flow this capability runs end-to-end inside the platform.
- 1Every analyzed change becomes a numbered Deploy Impact entry.
- 2Re-analyze to append an iteration; a sparkline shows red counts dropping.
- 3Status auto-flips to Ready when the latest run has zero breakages.
- 4Link any Deploy Impact to a Jira, CAB, or pull request for audit.
Related capabilities
Other capabilities in the BoltPipeline platform that work alongside this one.
1Intelligent Pipeline
Impact Analyzer
Paste any SQL change and see which pipelines, tables, and dashboards break — before you deploy.
6Agent &GitHub Integration
Install one app and every SQL pull request gets column-level lineage and blast-radius posted right on the PR.
3Lineage &Column-Level Lineage
One unified DAG covers pipelines, views, MVs, dynamic tables, and procedures — at column grain, before data moves.
See it on your data.
Try BoltPipeline against your live database — your data never leaves your environment.