Onehouse 介绍
Blog post from Onehouse
Apache Hudi, a project initiated at Uber in 2016, revolutionized data lake architecture by integrating data warehouse functionalities into data lakes, enabling near real-time data processing and management. Over the past five years, it has garnered a robust community and widespread adoption across various industries, with significant contributions from global companies leading to exponential growth in its usage. Companies like Amazon and Walmart have leveraged Hudi to build Exabyte-scale data lakes, underpinning critical business applications. The emergence of the lakehouse concept, combining data lakes and warehouses, echoes Hudi's foundational goals, addressing challenges like concurrency and performance while providing essential warehouse-like features. Despite these advancements, building and maintaining such infrastructures still demands significant engineering expertise and resources. In response, Onehouse has been developed as a cloud-native, managed service that automates data ingestion, management, and optimization, facilitating easier and cost-effective data infrastructure deployment. Onehouse aims to offer an open, interoperable data architecture that supports various BI and AI tools, reducing vendor lock-in and promoting cost savings. The project is backed by substantial seed funding and aims to contribute more to the Hudi community, enhancing its open-source capabilities.
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