Why Apache Iceberg will accelerate competition for compute engines

Apache Iceberg has emerged as the leading table format for the data lakehouse, overtaking Databricks' Delta Lake, due to its open data architecture and features that rival traditional data warehouses, such as ACID compliance and schema evolution. This shift towards Iceberg, embraced by industry giants like Snowflake and Databricks, has sparked a new competition over compute engines that can operate on open data stacks. The openness of Iceberg allows for a dynamic, interoperable data pipeline where various components, including compute engines, can be swapped as needed, encouraging a more competitive landscape. The integration of Iceberg with platforms like Starburst Galaxy, particularly through the use of the Trino engine, positions it well in the evolving data architecture space, suggesting that the industry's focus is shifting towards finding the best compute engines compatible with Iceberg's open framework. This development signifies a broader industry move towards more open, flexible data solutions, with Starburst's "Icehouse" architecture aiming to capture the new demand for scalable and efficient data processing on Iceberg.