June 2025 Summaries

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.

DeltaStream Fusion, now generally available, is a Unified Analytics Platform designed to streamline data infrastructure by integrating streaming analytics, batch processing, and real-time querying into a single, serverless system. By addressing the challenges of traditional fragmented analytics architectures, DeltaStream Fusion reduces operational complexity, lowers compute costs, and accelerates insights from both real-time streams and historical data. It natively integrates with solutions like Apache Iceberg, Postgres, and Apache Kafka to deliver a consistent lakehouse experience. The platform empowers data teams to accelerate time to insights, simplify data stacks, and innovate confidently, enabling advanced applications such as real-time fraud detection and predictive IoT maintenance. DeltaStream Fusion's capabilities were showcased at the Snowflake and Databricks Summits, offering demonstrations and personalized consultations to attendees on unifying data pipelines and enhancing analytics strategies.