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Open Table Formats Comparison

2 posts · Aug 2026

What this trail covers

This post details the modernization of SQL ETL processes within the Lakehouse by introducing declarative patterns, likely leveraging or extending existing open table formats to enable more efficient and robust data transformations. It builds upon the comparison of open table formats like Iceberg, Delta, and Hudi by demonstrating their practical application in enhancing ETL workflows.

All Databricks trails
  1. Modernizing SQL ETL in Lakehouse with Declarative PatternsThis post details the modernization of SQL ETL processes within the Lakehouse by introducing declarative patterns, likely leveraging or extending existing open table formats to enable more efficient and robust data transformations. It builds upon the comparison of open table formats like Iceberg, Delta, and Hudi by demonstrating their practical application in enhancing ETL workflows.
  2. Open Table Formats Explained: Iceberg vs. Delta vs. HudiThis post provides a technical comparison of open table formats (Iceberg, Delta, Hudi) and their implications for modernizing SQL ETL processes in the Lakehouse. It details the trade-offs and practical applications of each format for data transformation, aiming to guide engineers in choosing the most suitable format for their specific ETL workloads.