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 |
|---|---|---|---|---|
| 509 | Goods: Organizing Google's Datasets | 2016 | SIGMOD | 0.00017063491 |
| 1,038 | ARDA: Automatic Relational Data Augmentation for Machine Learning | 2020 | VLDB | 0.000123653 |
| 1,692 | MISTIQUE: A System to Store and Query Model Intermediates for Model Diagnosis | 2018 | SIGMOD | 9.8526476e-05 |
| 1,847 | Data Market Platforms: Trading Data Assets to Solve Data Problems | 2020 | VLDB | 9.5091361e-05 |
| 6,048 | Your notebook is not crumby enough, REPLace it | 2020 | CIDR | 5.9024167e-05 |
| 7,999 | TardisDB: Extending SQL to Support Versioning | 2021 | SIGMOD | 5.4088344e-05 |
| 8,407 | Crossing the finish line faster when paddling the Data Lake with KAYAK | 2017 | VLDB | 5.3365937e-05 |
| 9,838 | Automating the Enterprise with Foundation Models | 2024 | VLDB | 5.1221535e-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 |
|---|---|---|---|---|
| 1,086 | DataHub: Collaborative Data Science & Dataset Version Management at Scale | 2015 | CIDR | 0.0001209772 |
| 1,112 | Google Fusion Tables: Web-Centered Data Management and Collaboration | 2010 | SIGMOD | 0.00011975206 |
| 1,355 | Principles of Dataset Versioning: Exploring the Recreation/Storage Tradeoff | 2015 | VLDB | 0.00010921447 |
| 4,979 | SeeDB: Automatically Generating Query Visualizations | 2014 | VLDB | 6.3275644e-05 |
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Semantically Similar Papers
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|---|---|---|---|---|
| 1 | 1,825 | Data Management for Data Science: Towards Embedded Analytics | 2020 | CIDR |
| 2 | 6,259 | DataSpread: Unifying Databases and Spreadsheets | 2015 | VLDB |
| 3 | 13,798 | The Challenge of Building Effective Data Lakes | 2020 | SIGMOD |
| 4 | 12,891 | Large-Scale Collaborative Analysis and Extraction of Web Data | 2008 | VLDB |
| 5 | 9,546 | Demonstration of Collaborative and Interactive Workflow-Based Data Analytics in Texera | 2022 | VLDB |
| 6 | 12,417 | ShareInsights - An Unified Approach to Full-stack Data Processing | 2015 | SIGMOD |
| 7 | 7,854 | CoClean: Collaborative Data Cleaning | 2020 | SIGMOD |
| 8 | 3,914 | DataChat: An Intuitive and Collaborative Data Analytics Platform | 2023 | SIGMOD |
| 9 | 11,788 | Building a Collaborative Data Analytics System: Opportunities and Challenges | 2023 | VLDB |
| 10 | 1,086 | DataHub: Collaborative Data Science & Dataset Version Management at Scale | 2015 | CIDR |