Migrating 47 TB in Under 48 Hours: Lessons from the Front Lines

What does it take to migrate 47 TB of production data in less than 48 hours, without disrupting applications, retraining developers, or blowing the budget? This session shares real-world lessons from large-scale database migrations to Azure DocumentDB, Microsoft's open-source, MongoDB-compatible database platform designed for modern cloud and AI applications. Based on customer migrations involving tens of terabytes of data and mission-critical workloads, we'll walk through the strategies, tooling, and architectural decisions that made rapid migration possible. You'll learn how organizations are reducing database costs, simplifying operations, and accelerating innovation by moving from self-managed MongoDB deployments and other MongoDB-compatible databases to Azure DocumentDB. We'll cover how open-source migration tools, zero-cost migration options, online and offline migration approaches, and automated compatibility assessments help eliminate traditional migration risks and complexity. Beyond migration, we'll explore why database modernization is becoming a key enabler for AI adoption. You'll see how Azure DocumentDB provides a familiar MongoDB developer experience while delivering a foundation that is ready for AI-powered applications, retrieval-augmented generation (RAG), intelligent agents, and modern data-driven experiences. Whether you're running MongoDB at scale, evaluating cloud database options, or planning your next AI initiative, you'll leave with practical guidance, proven migration patterns, architectural best practices, and a roadmap for modernizing your data platform with confidence.