Starburst Galaxy’s Streaming Ingest Now in Public Preview

Starburst Galaxy's Streaming Ingest, now in public preview, enhances data processing capabilities by enabling near-real-time ingestion into optimized Iceberg tables using the Trino engine, simplifying complex data operations for organizations. This development addresses challenges faced in data ingestion and management, providing a streamlined, point-and-click solution that reduces operational overhead and enhances data governance and security. A notable example is Going, a travel industry innovator, which has successfully employed Starburst Galaxy to efficiently analyze large volumes of travel data, leading to improved predictive models and personalized flight recommendations. By leveraging Apache Iceberg, Going managed to scale data processing and enhance customer experiences, achieving faster time-to-insight and greater model accuracy. Starburst Galaxy's approach eliminates the need for intricate ETL pipelines and ensures data integrity with exactly-once processing, allowing data teams to focus on innovation rather than infrastructure management. This platform promises scalability and adaptability to changing data needs, proving beneficial across various data-driven industries seeking real-time insights.