For many finance teams, the moment can feel uncomfortably familiar. The Snowflake invoice arrives. The number is higher than forecast. No system was down. No one reports a mistake. Nothing obviously went wrong. And yet,
Most Snowflake vs Redshift comparisons start in the wrong place.
For most CFOs, Snowflake pricing does not feel like pricing at all. There are no fixed licenses. No clear “per user” cost. No predictable capacity commitments tied neatly to a budget line.
The pattern is remarkably consistent across many Snowflake migrations. First, the migration is approved. Snowflake is selected. The technical plan looks solid.
Many Data Warehouse Consulting engagements are declared successful.
In the first 30-90 days, many teams report a strong positive experience with Snowflake. Many things feels easier, particularly compared to legacy, tightly coupled warehouses:
“Queries are 10 times faster.”
Data Warehouse Consulting is one of the most frequently used and misunderstood responses to data problems.
This is one of the most frustrating situations leadership teams encounter.
When CTOs decide to bring in cloud data migration consultants, there is often an unspoken expectation: