data · open source
Data Warehouse Migration with Snowflake
Data Warehouse Migration built on Snowflake, chosen where it genuinely fits, and swapped where it does not.
- Category
- data
- Vendor
- Open source
- Alternatives we also use
- 6
Why Snowflake for this
Dual running is not optional. Both systems run until the numbers agree, and only then does anyone move.
Snowflake is strongest at elastic compute and clean workload isolation across teams. For data warehouse migration that matters because the failure modes of this kind of system tend to cluster exactly there.
The honest trade-off: consumption pricing that punishes unoptimised queries quickly. We say that up front because a stack chosen for fashion rather than fit becomes someone's migration project two years later. Every engagement opens with a measurement: the cycle time, the cost per transaction, or the error rate we are being asked to move.
Six weeks to something running in production, not six quarters to a strategy document.
The honest assessment
- What it is
- Cloud data warehouse with separated storage and compute.
- Strongest at
- elastic compute and clean workload isolation across teams
- Trade-off
- consumption pricing that punishes unoptimised queries quickly
- Category
- data
We are not a reseller for Snowflake and hold no commission on this choice. Where a different option fits your workload better, the recommendation will say so. That is the entire value of asking us.
What is included
- Inventory of every table, job and downstream consumer
- Query translation with behaviour differences documented
- Row-level and aggregate reconciliation between old and new
- Dual running until the numbers agree
- Staged cutover by consumer group
- Cost model comparing before and after
Questions
How do you avoid breaking reports?
Row-level and aggregate reconciliation between old and new, plus dual running until the numbers agree. Consumers move in stages, never all at once.
Which warehouse should we move to?
It depends on workload and existing cloud. We model cost against your real query patterns rather than list pricing, and sometimes the answer is to stay.
How long does it take?
Driven by the number of downstream consumers far more than data volume. The inventory in week one gives a realistic estimate.
Alternatives for data warehouse migration
Same capability, different stack. Each page states its own trade-off.
Building with Snowflake?
Bring us the workload and we will tell you whether this is the right stack for it.
Or email bd@dtrasglobal.com · call +91 74118 77878