Stitch Data - Integration Platforms Company Data Engineering [extra Quality]

Before Stitch, many teams wrote custom Python/Scala extraction scripts. Stitch (and tools like Fivetran) made extraction a commodity. Today’s data engineers spend less time dealing with API rate limits or pagination — and more time on modeling, governance, and quality.

Here’s what Stitch got right (and what it means for data engineers today): stitch data integration platforms company data engineering

What’s your go-to for extraction — Stitch, Fivetran, Airbyte, or something homegrown? etc.) rather than extraction.

Stitch focused on doing one thing well: replicating data from 100+ sources to a cloud data warehouse. No pipelines to maintain, no DAGs to debug. That freed engineers to focus on transformation (dbt, SQL, etc.) rather than extraction. stitch data integration platforms company data engineering