Power BI version control
Version control turns Power BI from an unpredictable surface into a governed system. Active Backup for Power BI tracks changes over time and lets you roll back semantic models, reports, dashboards, and dataflows to a known-good version.
Why version control matters
Power BI assets change constantly — new measures, refreshed visuals, updated dataflows. Without version control, regressions become investigations: who changed what, when, and what was the previous state?
Change tracking
Each backup run creates a restore point. Restore points form a timeline you can navigate, compare, and act on. Change tracking is built on this timeline.
Audit trail
An auditable history of analytics assets supports compliance reviews and incident analysis. You can demonstrate what content existed at a specific date and how it evolved.
Rollback capabilities
Roll back a single semantic model, a report, a dashboard, or a full workspace. Rollback can target the original location or a separate validation workspace to avoid disruption.
Governance
Version control complements deployment pipelines and Power BI Projects (PBIP). Pipelines move validated content forward; version control gives you a safety net when validation misses an issue.
Frequently asked questions
Does Power BI have built-in version control? Power BI offers PBIP source control and deployment pipelines, but neither retains an operational history of restore points across all assets.
Can I see what changed between two versions? Yes — version history lets you identify which restore point to use for rollback or audit.
Does version control work for Fabric items too? Yes, for the Fabric items covered by Active Backup (semantic models, reports, dashboards, dataflows, and related configurations).
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