Consider the typical scenario where your platform serves both enterprise clients with hundreds of thousands of users, as well as small businesses with just a handful. With traditional database partitioning strategies, you are likely to run into these common issues:
- Partition imbalance: Large tenants create oversized partitions while small tenants waste allocated resources
- Hot partitions: High-activity tenants overwhelm individual database partitions, creating performance bottlenecks
- Inefficient queries: User-specific lookups require scanning entire tenant datasets
- Resource contention: Mixed workloads compete for the same database resources
Azure Cosmos DB has been a go-to solution for multi-tenant applications due to its global distribution, automatic scaling, and flexible data models. Its partition-based architecture naturally aligns with tenant isolation requirements, making it attractive for SaaS platforms, IoT applications, and content management systems.
