Databricks Lakeguard: Supporting Fine-grained Access Control and Multi-user Capabilities for Apache Spark Workloads
Summary: Unifies FGAC across SQL, Python, Scala, R, and Spark workloads (row-level filters, column masks). Spark Connect separates client from server and container isolation secures multi-user compute for policy enforcement across languages (SQL, Python, Scala, R). (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Martin Grund (Databricks)
- 2. Stefania Leone (Databricks)
- 3. Herman van Hövell (Databricks)
- 4. Sven Wagner-Boysen (Databricks)
- 5. Sebastian Hillig (Databricks)
- 6. Hyukjin Kwon (Databricks)
- 7. David Lewis (Databricks)
- 8. Jakob Mund (Databricks)
- 9. Polo-Francois Poli (Databricks)
- 10. Lionel Montrieux (Databricks)
- 11. Othon Crelier (Databricks)
- 12. Xiao Li (Databricks)
- 13. Reynold Xin (Databricks)
- 14. Matei Zaharia (Databricks)
- 15. Michalis Petropoulos (Databricks)
- 16. Thanos Papathanasiou (Databricks)
BibTeX Citation
@inproceedings{grund_sigmod25,
title = {{Databricks Lakeguard: Supporting Fine-grained Access Control and Multi-user Capabilities for Apache Spark Workloads}},
author = {Grund, Martin and Leone, Stefania and van Hövell, Herman and Wagner-Boysen, Sven and Hillig, Sebastian and Kwon, Hyukjin and Lewis, David and Mund, Jakob and Poli, Polo-Francois and Montrieux, Lionel and Crelier, Othon and Li, Xiao and Xin, Reynold and Zaharia, Matei and Petropoulos, Michalis and Papathanasiou, Thanos},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3722212.3724433},
url = {https://dl.acm.org/doi/10.1145/3722212.3724433},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,582 | Unity Catalog: Open and Universal Governance for the Lakehouse and Beyond | 2025 | SIGMOD | 5.4910839e-05 |
| 10,125 | End-to-End Declarative Data Analytics: Co-designing Engines, Interfaces, and Cloud Infrastructure | 2026 | CIDR | 5.0751052e-05 |
| 10,226 | Active Data Lakes: Regaining Physical Data Independence Without Losing Interoperability | 2026 | VLDB | 5.0571508e-05 |
| 10,927 | A Decade of Apache Spark Structured Streaming: How We Evolved The Architecture To Meet Real-World Needs | 2026 | VLDB | 4.9793485e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 23 | Spark SQL: Relational Data Processing in Spark | 2015 | SIGMOD | 0.00055406774 |
| 459 | Delta Lake: High-Performance ACID Table Storage over Cloud Object Stores | 2020 | VLDB | 0.00017856221 |
| 950 | Lakehouse: A New Generation of Open Platforms that Unify Data Warehousing and Advanced Analytics | 2021 | CIDR | 0.00012895553 |
| 4,530 | BigLake: BigQuery’s Evolution toward a Multi-Cloud Lakehouse | 2024 | SIGMOD | 6.5588866e-05 |
| 5,348 | Adaptive and Robust Query Execution for Lakehouses at Scale | 2024 | VLDB | 6.1690434e-05 |
| 6,415 | Containerized Execution of UDFs: An Experimental Evaluation | 2022 | VLDB | 5.7926473e-05 |
| 7,464 | Membrane - Safe and Performant Data Access Controls in Apache Spark in the Presence of Imperative Code | 2024 | VLDB | 5.5204333e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 10,226 | Active Data Lakes: Regaining Physical Data Independence Without Losing Interoperability | 2026 | VLDB |
| 2 | 5,348 | Adaptive and Robust Query Execution for Lakehouses at Scale | 2024 | VLDB |
| 3 | 10,916 | AutoLiquid: Autonomic Data Layout Optimization for the Databricks Lakehouse | 2026 | VLDB |
| 4 | 13,623 | Blink Twice - Automatic Workload Pinning and Regression Detection for Versionless Apache Spark using Retries | 2025 | SIGMOD |
| 5 | 3,455 | Scaling Spark in the Real World: Performance and Usability | 2015 | VLDB |
| 6 | 10,943 | Lakebase: Serverless Postgres over Open Lake Storage | 2026 | VLDB |
| 7 | 4,530 | BigLake: BigQuery’s Evolution toward a Multi-Cloud Lakehouse | 2024 | SIGMOD |
| 8 | 7,582 | Unity Catalog: Open and Universal Governance for the Lakehouse and Beyond | 2025 | SIGMOD |
| 9 | 6,920 | Petabyte-Scale Row-Level Operations in Data Lakehouses | 2024 | VLDB |
| 10 | 7,464 | Membrane - Safe and Performant Data Access Controls in Apache Spark in the Presence of Imperative Code | 2024 | VLDB |