Data · Topic cluster spoke
How to migrate legacy SQL databases and data pipelines to the cloud
A practical approach to moving SQL estates and analytics pipelines without corrupting reporting or downtime windows.
17 Aug 2026 · 8 min read
How do you migrate legacy SQL databases to the cloud?
Migrating legacy SQL databases to the cloud typically means inventorying schemas and consumers, choosing a replication method such as dump/restore or change data capture, verifying data integrity, then cutting over application traffic with a rehearsed rollback plan.
Database work is a major workstream inside any serious Enterprise Cloud Migration Strategy.
Step-by-step migration process
- Map every producer and consumer of the database.
- Classify data sensitivity and residency requirements.
- Choose managed database targets and sizing assumptions.
- Set up continuous replication or scheduled sync.
- Run reconciliation checks: counts, checksums, business totals.
- Cut over writes, then decommission the legacy primary.
Data pipeline cutover tips
- Freeze non-essential schema changes during the window.
- Migrate analytical clones before the system of record.
- Keep idempotent jobs so retries do not duplicate facts.
- Monitor lag and backfill duration as hard go/no-go metrics.
Common SQL migration approaches
| Approach | Best for | Watch-outs |
|---|---|---|
| Dump / restore | Smaller DBs, longer windows | Long cutover; stale data risk |
| CDC replication | Large estates, short downtime | Tooling complexity; schema drift |
| Dual-write | Hard-to-replicate apps | Consistency bugs; cleanup cost |
For landing zones, waves, and operating model, use the Enterprise Cloud Migration Strategy pillar as your hub.
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