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}
}
Incoming Citations (Sorted by Pagerank)
Showing 6 of 56 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,968 | LayoutPilot: A Lakehouse Physical Design Advisor | 2026 | VLDB | 4.9793485e-05 |
| 11,243 | Quantum Data Management in the NISQ Era | 2025 | VLDB | 4.9793485e-05 |
| 11,269 | LogCloud: Fast Search of Compressed Logs on Object Storage | 2025 | VLDB | 4.9793485e-05 |
| 11,383 | Ursa: A Lakehouse-Native Data Streaming Engine for Kafka | 2025 | VLDB | 4.9793485e-05 |
| 11,394 | GraphAr: An Efficient Storage Scheme for Graph Data in Data Lakes | 2025 | VLDB | 4.9793485e-05 |
| 11,436 | Analyzing Near-Network Hardware Acceleration with Co-Processing on DPUs | 2025 | VLDB | 4.9793485e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 13 of 13 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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