Delta Lake: High-Performance ACID Table Storage over Cloud Object Stores
Summary: Delta Lake provides ACID on cloud object stores via a compacted Parquet log, enabling time travel and fast metadata. Upserts, data-layout, caching, audit logs, and cross-engine access (Spark/Hive/Presto/Redshift) enable ecosystem-wide analytics. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Michael Armbrust (Databricks)
- 2. Tathagata Das (Databricks)
- 3. Liwen Sun (Databricks)
- 4. Burak Yavuz (Databricks)
- 5. Shixiong Zhu (Databricks)
- 6. Mukul Murthy (Databricks)
- 7. Joseph Torres (Databricks)
- 8. Herman van Hovell (Databricks)
- 9. Adrian Ionescu (Databricks)
- 10. Alicja Łuszczak (Databricks)
- 11. Michał Świtakowski (Databricks)
- 12. Michał Szafrański (Databricks)
- 13. Xiao Li (Databricks)
- 14. Takuya Ueshin (Databricks)
- 15. Mostafa Mokhtar (Databricks)
- 16. Peter Boncz (Centrum Wiskunde & Informatica)
- 17. Ali Ghodsi (University of California Berkeley)
- 18. Sameer Paranjpye (Databricks)
- 19. Pieter Senster (Databricks)
- 20. Reynold Xin (Databricks)
- 21. Matei Zaharia (Stanford University)
BibTeX Citation
@article{armbrust_vldb20,
title = {{Delta Lake: High-Performance ACID Table Storage over Cloud Object Stores}},
author = {Armbrust, Michael and Das, Tathagata and Sun, Liwen and Yavuz, Burak and Zhu, Shixiong and Murthy, Mukul and Torres, Joseph and van Hovell, Herman and Ionescu, Adrian and Łuszczak, Alicja and Świtakowski, Michał and Szafrański, Michał and Li, Xiao and Ueshin, Takuya and Mokhtar, Mostafa and Boncz, Peter and Ghodsi, Ali and Paranjpye, Sameer and Senster, Pieter and Xin, Reynold and Zaharia, Matei},
journal = {PVLDB},
series = {{VLDB} '20},
volume = {13},
number = {12},
pages = {3411--3424},
doi = {10.14778/3415478.3415560},
url = {https://doi.org/10.14778/3415478.3415560},
year = {2020}
}Incoming Citations (Sorted by Pagerank)
Showing 50 of 76 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 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 | 0.0006897844 |
| 23 | Spark SQL: Relational Data Processing in Spark | 2015 | SIGMOD | 0.00055384955 |
| 52 | The Snowflake Elastic Data Warehouse | 2016 | SIGMOD | 0.00041210636 |
| 63 | Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases | 2017 | SIGMOD | 0.00038521221 |
| 641 | Relational Cloud: A Database-as-a-Service for the Cloud | 2011 | CIDR | 0.00015248402 |
| 647 | Building a Database on S3 | 2008 | SIGMOD | 0.00015201469 |
| 1,123 | Structured Streaming: A Declarative API for Real-Time Applications in Apache Spark | 2018 | SIGMOD | 0.00011926683 |
| 1,695 | Bolt-on Causal Consistency | 2013 | SIGMOD | 9.8510025e-05 |
| 3,532 | Rethinking Data-Intensive Science Using Scalable Analytics Systems | 2015 | SIGMOD | 7.2228355e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 5,354 | Adaptive and Robust Query Execution for Lakehouses at Scale | 2024 | VLDB |
| 2 | 2,317 | BtrBlocks: Efficient Columnar Compression for Data Lakes | 2023 | SIGMOD |
| 3 | 8,215 | LST-Bench: Benchmarking Log-Structured Tables in the Cloud | 2024 | SIGMOD |
| 4 | 10,866 | Interoperable ACID Transactions for Open Table Formats | 2026 | VLDB |
| 5 | 10,952 | Lakebase: Serverless Postgres over Open Lake Storage | 2026 | VLDB |
| 6 | 9,029 | AutoComp: Automated Data Compaction for Log-Structured Tables in Data Lakes | 2025 | SIGMOD |
| 7 | 10,084 | Delta Sharing: An Open Protocol for Cross-Platform Data Sharing | 2025 | VLDB |
| 8 | 6,922 | Petabyte-Scale Row-Level Operations in Data Lakehouses | 2024 | VLDB |
| 9 | 12,051 | Pixels: Multiversion Wide Table Store for Data Lakes | 2020 | CIDR |
| 10 | 4,332 | Analyzing and Comparing Lakehouse Storage Systems | 2023 | CIDR |