June 2025 Summaries

As AI and ML use cases continue to expand, businesses face growing demands for raw data, highlighting the need for robust data governance to ensure the quality and compliance necessary for AI success. Traditional data governance strategies often fall short in meeting these needs, prompting the integration of data products, which offer a more effective solution by streamlining data pipeline automation and ensuring data is properly governed and accessible. Data governance encompasses managing data quality, security, privacy, compliance, and sovereignty, requiring both technical and business strategies to support its implementation effectively. Data products, which create curated and accessible datasets, play a crucial role in enhancing data governance by facilitating data transparency, collaboration, and efficiency, making them particularly valuable in regulated industries such as healthcare, finance, insurance, and the public sector. Starburst, a data platform, offers a comprehensive approach to managing data products at scale, supporting organizations in achieving data governance while optimizing data accessibility and performance.

Starburst has introduced version 3 of its ODBC driver, marking a significant upgrade from version 2 by transitioning from a third-party driver to an internally developed one, which enhances performance and versatility by leveraging the Trino spooling protocol. The new driver, compatible with Starburst Enterprise 468-e LTS and Starburst Galaxy, offers substantial improvements in data transfer speeds, evidenced by up to 400% performance gains in internal benchmarks, particularly in extracting large datasets. This version maintains backward compatibility, ensuring that existing customers can benefit from these enhancements, and while currently supported only on Windows, future updates aim to extend compatibility to Linux and Mac operating systems. Starburst emphasizes the importance of data access in its analytics and AI workloads, with the ODBC driver serving as a crucial component for enabling seamless data connectivity and integration with popular BI tools like Microsoft Power BI and Tableau.

Starburst has announced the release of its 474-e LTS version, introducing significant AI innovations and enhancements to its platform. Key features include the Starburst AI Agent, which facilitates the creation and scaling of AI applications, and Starburst AI Workflows, which integrate AI workloads with enterprise analytics. The update also unveils the Enhanced Icehouse architecture, advancing the use of Apache Iceberg and Trino for modern data management. Additionally, the release offers improved connectors and performance metrics like support for Amazon S3 Tables and Unity Catalog interoperability, alongside a revamped Starburst Data Catalog designed to replace the Hive Metastore. The release also includes critical updates, such as the requirement for Java 11, the removal of incompatible connectors, and configuration adjustments aimed at improving data governance and performance. These updates emphasize Starburst's commitment to optimizing data access, usability, and control to support enterprise AI efforts effectively.

Starburst has announced a new integration with Amazon Web Services (AWS) that allows Starburst Galaxy to support Amazon S3 Tables, enhancing data architecture options for users and expanding AWS's service access. This integration with Amazon S3 Tables, which were introduced by AWS in late 2024 as a managed Apache Iceberg table hosting solution, enables users to query and modify these tables using Apache Iceberg while federating access with other data sources. A key feature of Amazon S3 Tables is the automatic handling of table maintenance tasks such as compaction and orphaned file removal by AWS, differentiating them from traditional S3 buckets. This collaboration with Starburst, which has a history of working with Apache Iceberg, ensures seamless data management and governance, and supports analytics, applications, and AI/ML use cases. Users can configure Amazon S3 Tables within Starburst Galaxy by following provided instructions, and Starburst offers automated data maintenance across all storage types to enhance performance and reduce storage usage, making it an ideal partner for AWS services.