Apache Hudi™ 1.0 Preview: A Database Experience on the Data Lake
Blog post from Onehouse
The summary of a talk from the Open Source Data Summit 2023 highlights the evolution and future of Apache Hudi, an open-source project initially developed at Uber to address data processing challenges in data lakes. Originating from the need to efficiently manage Uber's massive datasets, Hudi has advanced data lake capabilities by introducing data warehouse functionalities, significantly reducing data processing times from 24 hours to just one hour. Now a top-level Apache project, Hudi is widely adopted by industry giants like Amazon and Walmart, supported by a vibrant community of over 400 contributors. Its latest release, Hudi 1.0, aims to establish the first transactional database for data lakes, introducing features like LSM trees, functional indexes, and non-blocking concurrency control to enhance efficiency and data querying capabilities. Hudi's two table types, Copy on Write and Merge on Read, offer flexibility for managing data updates, while three query types—Snapshot, Read-optimized, and Incremental—cater to different data retrieval needs. With its ongoing development, Hudi is set to push the boundaries of data lake technology, offering unprecedented efficiency and flexibility for complex data workloads.
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