Case Study: Sleeping Duck achieves fresher data and lower Snowflake costs with Artie

Sleeping Duck future proofs their data platform with Artie

Sleeping Duck, an online mattress retailer, faced challenges with data latency from their previous batched ETL solution, which resulted in roughly one-hour delays. They required a more flexible data replication service that could adjust latency based on time-of-day business needs and enable real-time updates for critical tables to power their various operational teams. They evaluated several vendors but chose Artie for its data replication solution to address these issues.

By implementing Artie, Sleeping Duck reduced their data latency from one hour to just fifteen minutes, a fourfold increase in data update frequency. Artie's unique Eco Mode allowed them to adjust replication schedules, slashing their Snowflake ingestion costs by 51%. The plug-and-play solution required zero maintenance and provided the critical data freshness needed by the Customer Experience, Finance, Marketing, and Supply Chain teams for their daily operations and dashboards.

Sleeping Duck

Chao Li

Senior Data Engineer