It Depends #64: Iceberg, Delta, Hudi, Polaris, Unity & Lakehouse - Vinoth Chandar Onehouse - Jun ’24

On the occasion of Onehouse’s $35M Series B funding, I had the pleasure of discussing the intricacies of lakehouse architecture and table formats with founder and CEO, Vinoth Chandar. He created the Hudi format while at Uber and then worked at Confluent, before starting Onehouse. Our conversation delved into the origins and differences between Apache Hudi, Apache Iceberg, and Delta Lake. The complexity behind table formats and metadata is truly remarkable. Vinoth shared insights into achieving interoperability through Databricks UniForm and @Apache XTable, developed in collaboration with Microsoft and Google. We also explored technical aspects of meta stores and catalogs, such as Snowflake’s Polaris and Databricks’ Unity Catalog. Vinoth also offered his perspective on Tabular (now part of Databricks) and the future of lakehouse management. I believe you'll find this episode insightful and valuable. Feel free to share your thoughts and feedback #data #datamanagement #ai #ml #cloud #multicloud #moderndatastack #cloudnative #opensource #llm #lakehouse #apacheiceberg #apachehudi #LFDelta