Starburst File Ingest Builds Your Data Lakehouse Instantly From Amazon S3

Starburst Galaxy provides a streamlined solution for maintaining Apache Iceberg tables, which are increasingly popular for data lakehouses due to their robust table management capabilities, including time travel, schema evolution, and scalability. As Iceberg tables grow, they accumulate metadata and small files that can impact performance and increase storage costs, necessitating regular maintenance tasks such as data compaction, snapshot expiration, orphan file removal, and profiling. Starburst automates these routine tasks, simplifying the process of keeping Iceberg tables optimized for fast queries and cost-efficiency by offering scheduling tools that fit various data architectures and enabling users to automate SQL tasks through a feature called Jobs. This approach reduces the operational burden on data teams, ensuring that Iceberg tables remain efficient and ready for analytics and AI workloads, while also supporting compliance with regulations like GDPR by managing outdated snapshots. In essence, Starburst Galaxy offers a comprehensive set of tools to facilitate ongoing Iceberg table maintenance, allowing users to focus on deriving insights from their data without the hassle of manual upkeep.

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