Using Apache Hudi™ Data with Apache Iceberg™ and Delta Lake
Blog post from Onehouse
Modern data lakes are evolving to accommodate multiple table formats, each tailored to solve specific data challenges, thereby enhancing flexibility and scalability. Organizations are increasingly leveraging Apache Hudi, Iceberg, and Delta Lake to build a format-agnostic data stack, addressing diverse needs such as real-time analytics, schema evolution, and high-scale processing. Apache XTable (incubating) emerges as a solution to make table formats interoperable at the metadata level, preserving ACID guarantees while eliminating lock-in by compute engines. This innovation allows data to be written once in a preferred format and accessed across different engines, reducing redundancy and storage costs. Onehouse exemplifies this approach by using Hudi as the primary writing format while enabling simultaneous access in Iceberg and Delta formats, leveraging the shared Parquet foundation to optimize performance and data freshness. This strategy breaks down traditional silos, allowing organizations to use the best tools for each use case without compromise, transforming format diversity into a strategic advantage.
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