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Lakehouse architecture

Published : Apr 26, 2023
This blip is not on the current edition of the Radar. If it was on one of the last few editions, it is likely that it is still relevant. If the blip is older, it might no longer be relevant and our assessment might be different today. Unfortunately, we simply don't have the bandwidth to continuously review blips from previous editions of the Radar. Understand more
Apr 2023
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Lakehouse architecture is an architectural style that combines the scalability of data lakes with the reliability and performance of data warehouses. It enables organizations to store and analyze large volumes of diverse data in a single platform as opposed to having them in separate lake and warehouse tiers, using the same familiar SQL-based tools and techniques. While the term is often associated with vendors like Databricks, open alternatives such as Delta Lake, Apache Iceberg and Apache Hudi are worth considering. Lakehouse architecture can complement data mesh implementations. Autonomous data product teams can choose to leverage a Lakehouse within their data products.

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