Build vs. buy data pipeline: Four factors Autodesk considers

Autodesk, a company responsible for delivering critical insights across all platforms in their suite, faced challenges with extraction, storage and transformations. When evaluating whether to build or buy data pipelines, the team considered four key factors: cost-effectiveness, no-code or low-code route for data ingestion, time spent on solving business value problems, and alignment with existing toolchain and cloud data ecosystem. By choosing to buy tools like Fivetran and Snowflake, Autodesk has seen significant savings in time and maintenance, allowing them to focus on more strategic projects such as machine learning infrastructure and consolidating BI dashboards.