Collaborative Data Analytics with DataHub
Summary: DataHub is a unified platform for collaborative data analytics: load, store, query, and share datasets. Native versioning with concurrent updates; app ecosystem for diverse analytics; thrift-based serialization across 20+ languages via a shared notebook. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Anant Bhardwaj (Massachusetts Institute of Technology)
- 2. Amol Deshpande (University of Maryland)
- 3. Aaron J. Elmore (University of Chicago)
- 4. David Karger (Massachusetts Institute of Technology)
- 5. Sam Madden (Massachusetts Institute of Technology)
- 6. Aditya Parameswaran (University of Illinois Urbana-Champaign)
- 7. Harihar Subramanyam (Massachusetts Institute of Technology)
- 8. Eugene Wu (Columbia University)
- 9. Rebecca Zhang (Massachusetts Institute of Technology)
BibTeX Citation
@article{bhardwaj_vldb15,
title = {{Collaborative Data Analytics with DataHub}},
author = {Bhardwaj, Anant and Deshpande, Amol and Elmore, Aaron J. and Karger, David and Madden, Sam and Parameswaran, Aditya and Subramanyam, Harihar and Wu, Eugene and Zhang, Rebecca},
journal = {PVLDB},
series = {{VLDB} '15},
volume = {8},
number = {12},
pages = {1916--1919},
doi = {10.14778/2824032.2824100},
url = {https://doi.org/10.14778/2824032.2824100},
year = {2015}
}Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 514 | Goods: Organizing Google's Datasets | 2016 | SIGMOD | 0.00017178673 |
| 1,121 | ARDA: Automatic Relational Data Augmentation for Machine Learning | 2020 | VLDB | 0.00012093059 |
| 1,670 | MISTIQUE: A System to Store and Query Model Intermediates for Model Diagnosis | 2018 | SIGMOD | 0.00010045615 |
| 2,025 | Data Market Platforms: Trading Data Assets to Solve Data Problems | 2020 | VLDB | 9.2903125e-05 |
| 5,931 | Your notebook is not crumby enough, REPLace it | 2020 | CIDR | 6.0369708e-05 |
| 7,835 | TardisDB: Extending SQL to Support Versioning | 2021 | SIGMOD | 5.5354526e-05 |
| 8,233 | Crossing the finish line faster when paddling the Data Lake with KAYAK | 2017 | VLDB | 5.4610752e-05 |
| 9,654 | Automating the Enterprise with Foundation Models | 2024 | VLDB | 5.2422003e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,077 | DataHub: Collaborative Data Science & Dataset Version Management at Scale | 2015 | CIDR | 0.00012269438 |
| 1,098 | Google Fusion Tables: Web-Centered Data Management and Collaboration | 2010 | SIGMOD | 0.00012179025 |
| 1,349 | Principles of Dataset Versioning: Exploring the Recreation/Storage Tradeoff | 2015 | VLDB | 0.00011069122 |
| 4,864 | SeeDB: Automatically Generating Query Visualizations | 2014 | VLDB | 6.4736789e-05 |
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