DBScholar

Back to papers

Unified Lineage System: Tracking Data Provenance at Scale

Summary: ULS is an end-to-end lineage aggregator tracking data flows across heterogeneous assets with a general cross-asset model. It stitches traces, enables multi-granularity navigation, and offers tunable precision/recall, scaling to billions of nodes/edges in Meta for 100+ use cases including privacy. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
7183
Venue
SIGMOD
Year
2025
Pagerank
5.093636e-05
Overall Rank
10,701 | 26.59%
DOI
10.1145/3722212.3724458

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

BibTeX Citation

@inproceedings{jacquessilva_sigmod25,
        title = {{Unified Lineage System: Tracking Data Provenance at Scale}},
        author = {Jacques-Silva, Gabriela and Kalyvianaki, Evangelia and Cohn-Gordon, Katriel and Meguid, Adham and Nguyen, Huy and Ben-David, Danny and Nayak, Carl and Saravagi, Varun and Stasa, George and Papagiannis, Ioannis and Taieb, David and Tamirat, Kalkidan and Wu, Haiyang and Xi, Bo and Zhang, Taining and Zhou, Qi},
        series = {{SIGMOD} '25},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3722212.3724458},
        url = {https://dl.acm.org/doi/10.1145/3722212.3724458},
        year = {2025}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank Citing Paper Year Venue Pagerank
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 22 of 22 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
389 One Trillion Edges: Graph Processing at Facebook-Scale 2015 VLDB 0.00019386526
585 Lineage Tracing for General Data Warehouse Transformations 2001 VLDB 0.00016139897
1,389 Realtime Data Processing at Facebook 2016 SIGMOD 0.00010943767
1,617 Titian: Data Provenance Support in Spark 2016 VLDB 0.00010209397
1,627 Efficient Provenance Storage 2008 SIGMOD 0.00010188097
1,752 Approximate Lineage for Probabilistic Databases 2008 VLDB 9.8358116e-05
1,786 Putting Lipstick on Pig: Enabling Database-style Workflow Provenance 2012 VLDB 9.7690421e-05
1,798 SMOKE: Fine-grained Lineage at Interactive Speed 2018 VLDB 9.7361937e-05
1,871 Efficient Lineage Tracking For Scientific Workflows 2008 SIGMOD 9.5783449e-05
2,134 Provenance Management in Curated Databases 2006 SIGMOD 9.1154913e-05
2,191 Data Warehousing and Analytics Infrastructure at Facebook 2010 SIGMOD 8.9780154e-05
2,851 Fine-Grained, Secure and Efficient Data Provenance on Blockchain Systems 2019 VLDB 8.0462369e-05
4,240 LIMA: Fine-grained Lineage Tracing and Reuse in Machine Learning Systems 2021 SIGMOD 6.809685e-05
4,756 Improving Reproducibility of Data Science Pipelines through Transparent Provenance Capture 2020 VLDB 6.5221401e-05
5,574 Lineage-driven Fault Injection 2015 SIGMOD 6.1681803e-05
6,360 Approximate Summaries for Why and Why-not Provenance 2020 VLDB 5.9009081e-05
7,590 Ananke: A Streaming Framework for Live Forward Provenance 2021 VLDB 5.5904584e-05
8,050 Capturing and Querying Fine-grained Provenance of Preprocessing Pipelines in Data Science 2021 VLDB 5.5000099e-05
8,950 OneProvenance: Efficient Extraction of Dynamic Coarse-Grained Provenance From Database Query Event Logs 2023 VLDB 5.345946e-05
8,976 Computing How-Provenance for SPARQL Queries via Query Rewriting 2021 VLDB 5.3412433e-05
9,289 Compact, Tamper-Resistant Archival of Fine-Grained Provenance 2021 VLDB 5.2912339e-05
9,897 Microsoft Purview: A System for Central Governance of Data 2023 VLDB 5.1997534e-05
Previous Page 1 / 1 Next

Semantically Similar Papers