Repatriate Cloud Data. Take Back Control.

Cloud repatriation means moving workloads from public cloud to on-premises, private cloud, or hybrid environments. It gives you control over performance, security, and cost. As cloud bills spike and compliance pressure rises more organizations shift critical workloads, especially data workloads, closer to home—to reduce risk and improve reliability.

Public cloud pricing can be unpredictable. Between egress fees, storage tiers, and surprise spikes, costs add up fast. Repatriation removes those variables. In fact, 61% of enterprises that repatriated data workloads saw cost reductions of over 25% by running workloads at scale on fixed, optimized infrastructure. 

Cloud repatriation is about more than just lowering costs, it’s also about improving performance, security and compliance, and control. When you repatriate AI, analytics, or other high-demand workloads, you reduce latency, improve data access, and strengthen your security posture. You also avoid vendor lock-in, so your infrastructure works on your terms.

Start with workloads that are expensive to run, underperforming, or risky to host in the cloud, like real-time analytics, AI/ML training, and regulated data workloads. These workloads gain the most from repatriation, thanks to predictable performance, low-latency access, stronger governance and deployment flexibility. Vertica Enterprise Analytics is built to handle exactly these use cases, delivering petabyte-scale speed and control in on-premises or hybrid environments.

If you’re dealing with rising cloud bills, performance gaps, or new compliance demands, you’re likely already behind. Most enterprises are already moving—87% plan to repatriate key workloads in the next 12–24 months.