Analyzing and Comparing Lakehouse Storage Systems
Summary: Systematic comparative analysis of Delta Lake, Apache Hudi, and Apache Iceberg exposing design tradeoffs in metadata, transactions, compaction and read/write paths for lakehouse storage. Provides cross-system performance/feature evaluation across multiple axes and releases LHBench, an open benchmark for reproducible lakehouse design comparisons. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Paras Jain (University of California Berkeley)
- 2. Peter Kraft (Stanford University)
- 3. Conor Power (University of California Berkeley)
- 4. Tathagata Das (Databricks)
- 5. Ion Stoica (University of California Berkeley)
- 6. Matei Zaharia (Stanford University)
BibTeX Citation
@inproceedings{jain_cidr23,
address = {Amsterdam, Netherlands},
series = {{CIDR} '23},
title = {{Analyzing and Comparing Lakehouse Storage Systems}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Jain, Paras and Kraft, Peter and Power, Conor and Das, Tathagata and Stoica, Ion and Zaharia, Matei},
year = {2023}
}
Incoming Citations (Sorted by Pagerank)
Showing 12 of 12 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 12 | C-Store: A Column-oriented DBMS | 2005 | VLDB | 0.00068998927 |
| 459 | Delta Lake: High-Performance ACID Table Storage over Cloud Object Stores | 2020 | VLDB | 0.00017856221 |
| 479 | The Making of TPC-DS | 2006 | VLDB | 0.00017622471 |
| 647 | Building a Database on S3 | 2008 | SIGMOD | 0.00015208434 |
| 950 | Lakehouse: A New Generation of Open Platforms that Unify Data Warehousing and Advanced Analytics | 2021 | CIDR | 0.00012895553 |
| 1,487 | Photon: A Fast Query Engine for Lakehouse Systems | 2022 | SIGMOD | 0.00010521722 |
| 3,146 | White-box Compression: Learning and Exploiting Compact Table Representations | 2020 | CIDR | 7.5963816e-05 |
| 5,929 | Self-Organizing Data Containers | 2022 | CIDR | 5.9439349e-05 |
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