DBScholar

Back to papers

LakeBench: A Benchmark for Discovering Joinable and Unionable Tables in Data Lakes

Summary: LakeBench benchmarks joinable/unionable table discovery in messy data lakes with 16M real tables, >10K labeled queries, and diverse ground truth. It is 1,600× larger and 100× larger in storage than prior datasets, enabling effectiveness, efficiency, and scalability evaluation. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
hce2e610f6977eb66
Venue
VLDB
Year
2024
Pagerank
6.6120807e-05
Overall Rank
4,409 | 70.36%
DOI
10.14778/3659437.3659448

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{deng_vldb24,
        title = {{LakeBench: A Benchmark for Discovering Joinable and Unionable Tables in Data Lakes}},
        author = {Deng, Yuhao and Chai, Chengliang and Cao, Lei and Yuan, Qin and Chen, Siyuan and Yu, Yanrui and Sun, Zhaoze and Wang, Junyi and Li, Jiajun and Cao, Ziqi and Jin, Kaisen and Zhang, Chi and Jiang, Yuqing and Zhang, Yuanfang and Wang, Yuping and Yuan, Ye and Wang, Guoren and Tang, Nan},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {8},
        pages = {1925--1938},
        doi = {10.14778/3659437.3659448},
        url = {https://doi.org/10.14778/3659437.3659448},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 10 of 10 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 24 of 24 cited papers.

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

Rank Cited Paper Year Venue Pagerank
367 InfoGather: Entity Augmentation and Attribute Discovery By Holistic Matching with Web Tables 2012 SIGMOD 0.00019884846
484 Data Integration for the Relational Web 2009 VLDB 0.00017548541
509 Goods: Organizing Google's Datasets 2016 SIGMOD 0.00017071087
624 Data Lake Management: Challenges and Opportunities 2019 VLDB 0.00015479826
694 JOSIE: Overlap Set Similarity Search for Finding Joinable Tables in Data Lakes 2019 SIGMOD 0.00014727089
717 Finding Related Tables 2012 SIGMOD 0.00014532116
765 Table Union Search on Open Data 2018 VLDB 0.00014125424
777 To Join or Not to Join? Thinking Twice about Joins before Feature Selection 2016 SIGMOD 0.00014054709
972 The Data Civilizer System 2017 CIDR 0.00012763234
1,038 ARDA: Automatic Relational Data Augmentation for Machine Learning 2020 VLDB 0.00012370691
1,053 Answering Table Queries on the Web using Column Keywords 2012 VLDB 0.00012274222
1,318 LSH Ensemble: Internet-Scale Domain Search 2016 VLDB 0.00011047393
1,852 Semantics-aware Dataset Discovery from Data Lakes with Contextualized Column-based Representation Learning 2023 VLDB 9.5004635e-05
1,988 SANTOS: Relationship-based Semantic Table Union Search 2023 SIGMOD 9.2482448e-05
2,092 Sato: Contextual Semantic Type Detection in Tables 2020 VLDB 9.0626928e-05
2,382 DeepJoin: Joinable Table Discovery with Pre-trained Language Models 2023 VLDB 8.5458532e-05
3,015 Data Acquisition for Improving Machine Learning Models 2021 VLDB 7.7529194e-05
3,941 GoodCore: Data-effective and Data-efficient Machine Learning through Coreset Selection over Incomplete Data 2023 SIGMOD 6.9138042e-05
4,867 Selective Data Acquisition in the Wild for Model Charging 2022 VLDB 6.3749346e-05
5,276 MATE: Multi-Attribute Table Extraction 2022 VLDB 6.2002884e-05
7,042 Human-in-the-loop Outlier Detection 2020 SIGMOD 5.6142998e-05
7,201 Coresets over Multiple Tables for Feature-rich and Data-efficient Machine Learning 2023 VLDB 5.5871656e-05
7,648 MisDetect: Iterative Mislabel Detection using Early Loss 2024 VLDB 5.4772833e-05
8,736 Progressive Deep Web Crawling Through Keyword Queries For Data Enrichment 2019 SIGMOD 5.2904354e-05
Previous Page 1 / 1 Next

Semantically Similar Papers