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Titian: Data Provenance Support in Spark

Summary: Titian embeds fine-grained data provenance in Apache Spark, enabling interactive backward tracing from erroneous or outlier results to root-cause inputs. Its optimized lineage capture is orders of magnitude faster than alternatives, with typically ≤30% runtime overhead. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
he1a99e1a18687d16
Venue
VLDB
Year
2016
Pagerank
0.00010219222
Overall Rank
1,564 | 89.49%
DOI
10.14778/2850583.2850593
PDF
Download (CC BY-NC-ND 4.0)

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{interlandi_vldb16,
        title = {{Titian: Data Provenance Support in Spark}},
        author = {Interlandi, Matteo and Shah, Kshitij and Tetali, Sai Deep and Gulzar, Muhammad Ali and Yoo, Seunghyun and Kim, Miryung and Millstein, Todd and Condie, Tyson},
        journal = {PVLDB},
        series = {{VLDB} '16},
        volume = {9},
        number = {3},
        pages = {216--227},
        doi = {10.14778/2850583.2850593},
        url = {https://doi.org/10.14778/2850583.2850593},
        year = {2016}
}

Incoming Citations (Sorted by Pagerank)

Showing 23 of 23 citing papers.

Rank Citing Paper Year Venue Pagerank
1,692 MISTIQUE: A System to Store and Query Model Intermediates for Model Diagnosis 2018 SIGMOD 9.8526476e-05
1,713 SMOKE: Fine-grained Lineage at Interactive Speed 2018 VLDB 9.8129981e-05
2,189 Production Machine Learning Pipelines: Empirical Analysis and Optimization Opportunities 2021 SIGMOD 8.8854572e-05
2,835 Fine-Grained, Secure and Efficient Data Provenance on Blockchain Systems 2019 VLDB 7.9516187e-05
4,334 LIMA: Fine-grained Lineage Tracing and Reuse in Machine Learning Systems 2021 SIGMOD 6.6537801e-05
4,804 Improving Reproducibility of Data Science Pipelines through Transparent Provenance Capture 2020 VLDB 6.4074452e-05
4,937 Explaining Outputs in Modern Data Analytics 2016 VLDB 6.3443901e-05
5,696 Debugging Big Data Analytics in Spark with BigDebug 2017 SIGMOD 6.030237e-05
7,210 Dataset Relationship Management 2019 CIDR 5.5821013e-05
7,214 Capturing and Querying Fine-grained Provenance of Preprocessing Pipelines in Data Science 2021 VLDB 5.5814338e-05
7,235 Hypothetical Reasoning via Provenance Abstraction 2019 SIGMOD 5.5765963e-05
7,955 Provenance: On and Behind the Screens 2016 SIGMOD 5.4174465e-05
8,033 Dependency-Driven Analytics: a Compass for Uncharted Data Oceans 2017 CIDR 5.4017733e-05
8,267 Amber: A Debuggable Dataflow System Based on the Actor Model 2020 VLDB 5.3633784e-05
10,197 LPStream: Fine-grained Lazy Provenance for Stream Processing 2026 SIGMOD 5.0599411e-05
10,202 Ariadne: Online Provenance for Big Graph Analytics 2019 SIGMOD 5.0599411e-05
10,203 Privacy-Preserving Network Provenance 2017 VLDB 5.0599411e-05
10,838 Toward Temporal Attribution Analytics in Dataflows 2026 VLDB 4.9769913e-05
10,853 I-Rex: An Interactive Debugger for SQL 2026 VLDB 4.9769913e-05
11,144 Unified Lineage System: Tracking Data Provenance at Scale 2025 SIGMOD 4.9769913e-05
11,462 IcedTea: Efficient and Responsive Time-Travel Debugging in Dataflow Systems 2025 VLDB 4.9769913e-05
11,963 Flow Provenance in Temporal Interaction Networks 2021 SIGMOD 4.9769913e-05
12,220 Demonstration of Smoke: A Deep Breath of Data-Intensive Lineage Applications 2018 SIGMOD 4.9769913e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

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

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