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Iceberg s. Delta vs. Hudi: Choosing the Right Lakehouse Format | Towards Dev
The article provides a detailed comparison of three modern lakehouse table formats (Apache Iceberg, Delta Lake, and Apache Hudi), analyzing their technical features, performance characteristics, and i
deal use cases. It particularly emphasizes Iceberg's growing momentum due to its open standards and broad interoperability, while acknowledging Delta Lake's strength in Databricks environments and Hudi's excellence in streaming scenarios.

Reasons to Read -- Learn:

  • how to choose the right lakehouse format for your specific use case, with detailed technical comparisons and real-world examples of implementing each format (Iceberg, Delta Lake, and Hudi) in different scenarios.
  • latest developments in data lakehouse architecture, including Iceberg's growing adoption by major vendors like Snowflake and AWS, and how these formats are shaping the future of data management with features like ACID transactions and schema evolution.
  • practical implementation details and performance optimization techniques for each format, including Iceberg's hidden partitioning, Delta Lake's Z-ordering, and Hudi's merge-on-read capabilities, with concrete code examples and configuration settings.
    • publisher: @noel.B
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