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Thoughts on the Databricks Lakehouse

Miles Cole writes from inside the company:

The lakehouse architecture introduced a simple but powerful idea: unify the robust data management of the data warehouse with the openness, flexibility, and decoupled storage of the data lake. In principle, a lakehouse can be implemented anywhere, on any object store, with any compute engine that supports open table formats. In this post I want to make the case for why I believe the lakehouse is best realized on the platform that invented the product category in the first place: Databricks.

I’ll make the case with three points:

  1. Robust data management comes standard
  2. Flexibility without the complexity
  3. A track record of innovation

Click through for the argument.

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