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The "T" in ELT: Why we added dbt Core execution to Saddle Data

For a long time, "Modern Data Stack" has been code for "Buy 5 different tools." One tool to move the data (EL). The Warehouse. One tool to transform the data (T). One tool to trigger the other two

Announcing Snowflake Support: The Data Warehouse Built for the Cloud

Snowflake changed the game for data warehousing. By separating compute from storage, they made scalable analytics accessible to everyone—from solo founders to massive teams. But for many engineers, g

Stop Breaking Pipelines: Introducing Schema Drift Detection & Auto-Migration

It's a classic story: An application engineer deploys a new feature on Friday afternoon. They add a helpful new column, user_score, to the users table. The app works perfectly. But on Monday morn

Say Goodbye to Full Refreshes: Introducing Non-Destructive Incremental Sync

If you've ever run a DROP TABLE followed by a CREATE TABLE on a production dataset with 10 million rows, you know the feeling. The anxiety. The resource spike. The long wait. For a long time, sim