StreamNative Kafka and Starburst Managed Ingestion Power the Modern Lakehouse

StreamNative and Starburst have partnered to simplify the process of moving real-time data from Kafka to analytics-ready formats in a modern lakehouse environment. This collaboration integrates StreamNative’s Native Kafka Service with Starburst Managed Ingestion, enabling a seamless workflow from data ingestion to querying in Apache Iceberg tables. StreamNative supports both Apache Kafka and Pulsar, using the Ursa streaming engine to bridge the gap between streaming and analytics. Starburst's solution automates schema management, partitioning, and table maintenance, ensuring data is immediately ready for SQL analytics with the Trino-based engine. This partnership aims to eliminate the need for custom pipelines, reduce operational overhead, and support AI applications by providing a unified, open infrastructure that allows organizations to leverage real-time data efficiently. The solution is particularly beneficial for teams currently using Kafka and those designing new streaming architectures, offering a complete lakehouse-native experience from ingestion to high-performance federated analytics.