SQL and Graph Analytics on Apache Iceberg with Starburst and PuppyGraph

The text discusses the integration of SQL and graph analytics on Apache Iceberg within data lakehouse architectures, highlighting the use of Trino and PuppyGraph to perform analytics without duplicating data. Apache Iceberg offers efficient metadata handling and query performance, forming the foundation for large-scale data analysis. Trino serves as a distributed SQL engine, enabling interactive analytics on Iceberg tables, while PuppyGraph facilitates graph analytics by allowing graph models to be defined on relational data without requiring separate graph databases. This unified approach enables organizations to leverage both SQL and graph queries for comprehensive data analysis, such as tracing transaction flows and identifying relationships, all while maintaining a single data layer. Starburst enhances this ecosystem with platforms like Starburst Enterprise and Starburst Galaxy, offering production-ready environments and extending the Icehouse architecture with features like managed Iceberg ingestion and performance optimizations. A demonstration using synthetic financial data illustrates how both SQL and graph analytics can be applied to the same dataset, showcasing the capabilities of this integrated architecture.

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