Lakehouse: A New Generation of Open Platforms that Unify Data Warehousing and Advanced Analytics
Summary: Proposes the Lakehouse: an open-format (Parquet) platform unifying data warehousing and first-class ML/data‑science to address staleness, lock‑in, reliability and TCO. Presents a Parquet-based prototype that matches cloud data warehouses on TPC-DS and discusses research implications. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Michael Armbrust (Databricks)
- 2. Ali Ghodsi (Databricks; University of California Berkeley)
- 3. Reynold Xin (Databricks)
- 4. Matei Zaharia (Databricks; Stanford University)
BibTeX Citation
@inproceedings{armbrust_cidr21,
address = {Amsterdam, Netherlands},
series = {{CIDR} '21},
title = {{Lakehouse: A New Generation of Open Platforms that Unify Data Warehousing and Advanced Analytics}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Armbrust, Michael and Ghodsi, Ali and Xin, Reynold and Zaharia, Matei},
year = {2021}
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