What is the best way to query Apache Iceberg tables?

Apache Iceberg has become a prominent table format choice in the data lake space, enabling high performance and efficient data management across various analytics engines, and it is especially compatible with the Trino-based query engines. The text discusses the benefits of using Apache Iceberg, noting its capacity to prevent vendor lock-in and support multiple compute engines, making it a versatile option for data architecture. A benchmark comparison highlights Starburst, powered by Trino, as offering the best combination of price and performance for querying Iceberg tables, thanks to its Warp Speed technology that optimizes query execution and reduces cloud compute costs. The text emphasizes the advantages of cloud data lakehouses over traditional cloud data warehouses, including cost-efficiency, flexibility, and scalability, suggesting that organizations consider transitioning to a data lakehouse architecture to leverage these benefits. Starburst's Icehouse serves as an architectural blueprint for an open data lakehouse, providing a cost-effective and high-performance solution for managing data at scale.