Azure SQL Database or Managed Instance?
Use application dependencies and operating requirements to choose a deployment model, not just a familiar product name.
Practical answers. Deeper understanding. Find your next database breakthrough.
Use application dependencies and operating requirements to choose a deployment model, not just a familiar product name.
Think about query routing, data growth, and hot workloads before making a foundational modeling decision.
A managed database does not remove connection limits. Coordinate application pools, scaling, and authentication before traffic grows.
Use explicit columns and partition filters to reduce unnecessary work, then validate the bytes your query will process.
Change events move data between systems. Correct downstream results also need ordering, idempotency, schema handling, and reconciliation.
Use a tiny customer-and-order dataset to see inner joins, left joins, and the filter placement that changes their meaning.