Case Study: StashAway unifies its global data platform with Dagster

StashAway cuts pipeline setup time by 95% with Dagster Labs

StashAway, a digital wealth management platform operating across five global markets, faced significant challenges with their fragmented data orchestration. Their previous system, built on Airflow, lacked software engineering best practices like testing and version control, and its multi-region setup caused unreliable data pipelines, frequent SLA misses, and inefficient troubleshooting. They turned to vendor Dagster Labs and adopted the Dagster platform to unify their data operations and improve reliability.

By implementing Dagster's software-defined assets, StashAway automated pipeline creation and consolidated their five separate regional Kubernetes clusters into a single, unified control plane. This solution provided end-to-end lineage, complete observability, and enabled the adoption of robust software development practices. The results were substantial: Dagster helped achieve a 50% increase in SLA compliance, a 50% reduction in data warehouse costs after a migration to Databricks, and a 95% faster pipeline creation process, reducing setup time from days to about an hour.

StashAway