Main Definition
Data repatriation is the process of moving data and workloads from public cloud environments back to an on-premises privately managed storage infrastructure. The drivers are usually regulatory or cost driven: cloud costs that ballooned beyond projections, compliance requirements demanding tighter data residency controls, or performance needs that shared cloud environments can’t meet consistently.
Repatriation can be total (a full exit from public cloud) or partial, where organizations selectively bring back specific workloads while keeping others in the cloud. The partial approach is far more common, reflecting a broader shift toward hybrid strategies that place data where it makes the most operational and financial sense.
Repatriation has three main requirements: 1) data visibility, ( show me where is the data now), 2) data movement (the ability to move large data sets fast), and analytics (the ability to model different cost scenarios).
Starfish Storage Starfish provides powerful data visibility and data movement capabilities, plus storage analytics that support all three requirements of data repatriation.
Related links
- Myth or Emerging Trend? Cloud Repatriation Explained | TechTarget
- Gartner Forecast Dampens Cloud Repatriation Outlook | The Stack
- Cloud Repatriation | IDC
