Stream Smarter, Spend Less: Shift-Left with DeltaStream and Cut Snowflake Costs by 75%

Organizations using Snowflake as their primary ELT (Extract, Load, Transform) engine often face high costs due to the need for frequent data transformations. DeltaStream presents a cost-effective alternative by shifting from an ELT to an ETL (Extract, Transform, Load) model, processing raw data in motion before it reaches Snowflake. This method reduces compute and storage expenses by eliminating intermediate tables and only streaming the final results, known as Gold tables, into Snowflake. A benchmark study using NYC Taxi data demonstrated that DeltaStream's approach resulted in a 75% cost savings compared to Snowflake's ELT path, while also offering the benefits of real-time updates and simplicity through SQL, without the need for complex programming skills. By adopting DeltaStream, organizations can streamline their architecture, reduce costs, and obtain fresher data insights more efficiently.

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