Case Study: Prodege reduces data integration costs by 60% with Estuary

How Prodege Reduced Costs by 60% with Estuary Flow and Apache Iceberg

Prodege, a leading digital services company, needed to modernize its data infrastructure to handle growing data volumes. The company was facing escalating data ingestion costs and required a more scalable and flexible architecture that could integrate both real-time and batch workflows. To address this challenge, Prodege adopted a solution from vendor Estuary for real-time data replication.

The solution implemented by Estuary involved replicating data to Apache Iceberg tables on Amazon S3, which provided a modern data lakehouse. This integration from Estuary enabled continuous data loading with support for schema evolution. The results were significant, including a 60% reduction in replication costs and a 30% reduction in Snowflake ingestion costs, dramatically lowering Prodege's total cost of ownership and positioning them for future scalability.

Prodege