Imagine if every time you edited a document, the word processor forced you to retype everything that had been written before that edit.
How expensive would that be for a company?
This is exactly how data transformation works today. Each time a data engineer modifies some part of the data stack, the Cloud Data Warehouse & its transformation layer recalculates everything.
What if the system were designed so that it only recalculated the metrics needed? How much less expensive would it be?
Databricks partnered with Tobiko to quantify the impact. Selective recalculation delivers a 9x cost savings.

Selective recalculation – only calculating what needs to be – delivers the 9x cost savings. This efficiency becomes critical as data transforms from a business asset into the business foundation itself with AI.
Migrating to a new system is often expensive, but with SQLMesh’s dbt adapter, no code changes are required to the existing schema to support this cost savings.
In a world where every cloud dollar counts, it’s time to stop forcing your data warehouse to rewrite “War and Peace” when all you need is the Cliff’s Notes — your CFO will thank you.
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