Our company is moving a legacy database to the cloud. Why is this so much harder than expected? Between downtime, data integrity, and latencies, migration feels like a nightmare. Are there tools that can automate the schema conversion and data transfer?
3 answers
Data migration is the most stressful part of because it involves the most "gravity." Moving terabytes of data over a standard internet connection is slow and prone to failure. You should look into dedicated migration services like AWS DMS or Azure Database Migration Service. These tools handle the heavy lifting of keeping the source and target databases in sync during the transition. The hardest part is often the "Schema Conversion"—mapping old legacy data types to modern cloud equivalents. I managed a 5TB migration in late 2025, and we spent 70% of the time just cleaning the data before we even started the actual transfer process.
Are you planning a "Lift and Shift" approach or are you refactoring the database to be cloud-native as part of your strategy?
Validation is key! You must prove that the data on the cloud exactly matches the source. Never skip the checksum phase in a migration.
Gregory is 100% correct. Integrity checks are non-negotiable. It’s better to be slow and accurate than to finish a move with corrupted records.
We started with a "Lift and Shift," Donald, but we quickly realized the performance wasn't there. Now we are looking at refactoring to use a managed database service. It's more work upfront, but the auto-scaling and managed backups seem worth the extra effort in the long run for our dev team.