Why don't data lakehouses use Hive? | Starburst Academy

Learn more about data lakehouses: academy.starburst.io/explorin... and data lakes: academy.starburst.io/explorin....
Want to know what a data lakehouse is? What is Hive and how does it compare to modern data lakes and data lakehouses? This video explains how Hive is used in traditional data lakes, and how this relates to other lakehouse technologies like Iceberg, Delta Lake, and Hudi that help make the data lakehouse possible.
This video is part of a larger course, Exploring data lakehouses: academy.starburst.io/explorin.... This course digs deeper into data lakehouses at all levels, including a discussion of the typical technologies used to create a data lakehouses and how Starburst Galaxy and Starburst Enterprise can help. It is available on Starburst Academy: academy.starburst.io/.
The course is part of the Data foundations series: academy.starburst.io/page/dat.... The series provides a conceptual and contextual background to help you understand how Starburst fits within Big Data ecosystems. Each course in the series is suitable for all audiences.
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[@abhishektripathi3216]

Hive is no longer using Mapreduce but Apache Tez that follow DAG and avoid multiple times reload of data.

[@StarburstData]

Yes, good call out! Although Hive/Tez isn't used in data lakehouses either, Apache Tez is used in some Hive implementations of data lakes and it does reduce some of the issues associated with traditional Hive. You can think of those Hive implementations as moving a bit closer to a data lakehouse but a true lakehouse requires one of the 3 modern table formats: Iceberg, Delta Lake, or Hudi.