Choosing a Cloud Provider That Won't Strand Your Next Decade of Data
For organizations building sustainable analytics infrastructure, the off cloud provider can lock you into a decade of regret. This article cuts through the hype to help you decide who to trust with your data future. We frame the decision by asking who must choose and by when, then map the option landscape—from hyperscalers like AWS, Azure, and GCP to specialized analytics clouds like Snowflake and Databricks. We lay out the criteria that matter: overhead predictability, data gravity, ecosystem lock-in, and green commitments. A trade-off table compares vendor strengths and weaknesses honestly. We walk through the implementation path after selection, covering migration, data governance, and FinOps. We warn against the risks of choosing off: hidden egress fees, proprietary formats, and carbon blind spots. A mini-FAQ answers real questions about multi-cloud, repatriation, and AI readiness.