Lakehouse or Warehouse? Part 1 of 2
Blog post from Onehouse
Vinoth Chandar's talk at Data Council Austin 2022 explores the evolution and future of data infrastructure, focusing on data warehouses, data lakes, and the emerging data lakehouse architecture, which he helped develop at Uber. As the chair of the Apache Hudi project, Chandar emphasizes the significance of a lakehouse-first approach that integrates diverse engines for various analytics workloads. He outlines how lakehouses can address the limitations of data lakes by incorporating transactional capabilities, thus offering a balanced and future-proof data infrastructure solution. Comparing the architectural designs, capabilities, and cost-performance aspects of data warehouses and lakehouses, Chandar advocates for openness in data formats to promote interoperability and innovation across the ecosystem. He highlights the maturation of cloud warehousing and the advantages of separating storage and compute, while cautioning against over-reliance on vendor-specific solutions, emphasizing the potential of open-source projects like Hudi to maintain flexibility and community-driven development.
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