After comparing multiple solutions, Autodesk chose Snowflake. According to Kidwell, “We wanted to make the most people the most productive in the shortest amount of time, and Snowflake was the clear winner.”
Snowflake’s multi-cluster shared data architecture and elastic scalability solved Autodesk’s performance issues, which led to an enhanced experience for BI users. Per-second pricing provided a cost-savings opportunity for Autodesk’s analytics workloads.
Snowflake’s native SQL support and extensive network of connectors, drivers and programming languages simplified data ingestion and transformation. “Our goal was to enable that end-to-end pipeline entirely in Snowflake,” Kidwell says. Snowflake Marketplace offered a convenient way to access ready-to-query data sets without the cost and effort of traditional ETL processes. Configuring a bidirectional sync between Snowflake and Autodesk’s cloud object storage accelerated adoption.
Snowflake’s near-zero maintenance reduced administrative work and freed up technical staff to focus on increasing analytics.