Begin with what the application expects
Azure SQL Database and Azure SQL Managed Instance are managed offerings in the Azure SQL family, but their deployment models and compatibility surfaces differ.
For an existing application, inventory its dependencies before selecting a destination.
Ask about the database boundary
Azure SQL Database is often considered when an application can operate within a database-oriented managed model. Managed Instance is relevant when the application relies on a broader set of instance-level SQL Server capabilities.
Neither description is a substitute for checking each required feature against current documentation.
Build a compatibility checklist
Inventory cross-database access, agent jobs, authentication, linked integrations, extensions, network dependencies, and administrative procedures.
Mark each dependency as supported, requiring changes, or needing an alternative. Test application behavior with representative data and workload.
Compare operations as well as features
Consider backup and restore procedures, availability options, maintenance behavior, scaling, network architecture, and the migration path.
A migration that appears simple at the SQL syntax level can still require changes to connection handling, scheduled tasks, permissions, or monitoring.
Model the bill
Compare the actual region, service tier, compute model, storage, and availability requirements. License-related benefits and commercial terms need verification for your organization.
Avoid presenting a universal monthly price without the configuration that produced it.
A practical decision process
- Inventory dependencies and define recovery objectives.
- Eliminate deployment models that cannot meet a hard requirement.
- Build a representative proof of concept.
- Test migration, performance, failure handling, and rollback.
- Compare the operating effort and cost of the remaining choices.
The right choice is the one that supports the application and its operators with acceptable change and cost.