Unbundling Your Data Platform: How Open Data Lakehouses are Changing the Game
Blog post from Onehouse
Vinoth Chandar, founder and CEO of Onehouse, highlighted the trend of "unbundling" data platforms at the Open Source Data Summit, advocating for modular and interoperable ecosystems that cater to specific organizational needs. Drawing from his experiences with companies like LinkedIn and Uber, Chandar critiqued traditional bundled data platforms for their limitations, especially in handling diverse and evolving analytics needs such as real-time analytics and machine learning. He proposed an open data lakehouse architecture that decouples storage, compute, and query engines, enabling organizations to leverage best-in-class tools without the constraints of vendor lock-in. This approach allows for scalable, cost-effective, and flexible data infrastructures, exemplified by companies like Uber, Walmart, and Notion, which have successfully implemented unbundled systems. Chandar emphasized the importance of open formats and modular architectures in future-proofing data platforms, ensuring they can adapt to new technologies and AI advancements while reducing operational overhead and costs.
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