Ariadne: Online Provenance for Big Graph Analytics
Summary: Ariadne provides online provenance capture and querying for vertex-centric graph analytics, where provenance can explode beyond the input graph due to iteration. A Datalog-based declarative language enables inline querying and execution monitoring, achieving ~1.3x overhead versus 8x for traditional approaches and enabling performance-aware analytics. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Vicky Papavasileiou (University of California San Diego)
- 2. Ken Yocum (Intuit; University of California San Diego)
- 3. Alin Deutsch (University of California San Diego)
BibTeX Citation
@inproceedings{papavasileiou_sigmod19,
title = {{Ariadne: Online Provenance for Big Graph Analytics}},
author = {Papavasileiou, Vicky and Yocum, Ken and Deutsch, Alin},
series = {{SIGMOD} '19},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3299869.3300091},
url = {https://dl.acm.org/doi/10.1145/3299869.3300091},
year = {2019}
}
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 17 of 17 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 8,509 | Hypothetical Reasoning via Provenance Abstraction | 2019 | SIGMOD |
| 2 | 1,366 | Provenance for Generalized Map and Reduce Workflows | 2011 | CIDR |
| 3 | 8,318 | Optimizing Declarative Graph Queries at Large Scale | 2019 | SIGMOD |
| 4 | 8,976 | Computing How-Provenance for SPARQL Queries via Query Rewriting | 2021 | VLDB |
| 5 | 436 | Trinity: A Distributed Graph Engine on a Memory Cloud | 2013 | SIGMOD |
| 6 | 1,871 | Efficient Lineage Tracking For Scientific Workflows | 2008 | SIGMOD |
| 7 | 2,807 | Data Provenance at Internet Scale: Architecture, Experiences, and the Road Ahead | 2017 | CIDR |
| 8 | 1,912 | Querying Data Provenance | 2010 | SIGMOD |
| 9 | 11,860 | Ursprung: Provenance for Large-Scale Analytics Environments | 2019 | SIGMOD |
| 10 | 8,950 | OneProvenance: Efficient Extraction of Dynamic Coarse-Grained Provenance From Database Query Event Logs | 2023 | VLDB |