ConnectorX: Accelerating Data Loading From Databases to Dataframes
Summary: ConnectorX speeds loading from DBMSs to dataframes by reducing client-side overhead—the dominant cost—rather than query execution or data transfer. Server-side result partitioning and a modular design enable easy extension to multiple databases and dataframes, yielding speedups over prior libraries. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Xiaoying Wang (Simon Fraser University)
- 2. Weiyuan Wu (Simon Fraser University)
- 3. Jinze Wu (Simon Fraser University)
- 4. Yizhou Chen (Simon Fraser University)
- 5. Nick Zrymiak (Simon Fraser University)
- 6. Changbo Qu (Simon Fraser University)
- 7. Lampros Flokas (Columbia University)
- 8. George Chow (Simon Fraser University)
- 9. Jiannan Wang (Simon Fraser University)
- 10. Tianzheng Wang (Simon Fraser University)
- 11. Eugene Wu (Columbia University)
- 12. Qingqing Zhou (Tencent)
BibTeX Citation
@article{wang_vldb22,
title = {{ConnectorX: Accelerating Data Loading From Databases to Dataframes}},
author = {Wang, Xiaoying and Wu, Weiyuan and Wu, Jinze and Chen, Yizhou and Zrymiak, Nick and Qu, Changbo and Flokas, Lampros and Chow, George and Wang, Jiannan and Wang, Tianzheng and Wu, Eugene and Zhou, Qingqing},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {11},
pages = {2994--3003},
doi = {10.14778/3551793.3551847},
url = {https://doi.org/10.14778/3551793.3551847},
year = {2022}
}Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,340 | Fast and Scalable Data Transfer Across Data Systems | 2025 | SIGMOD | 5.0210286e-05 |
| 10,525 | EncoderForge: Generating Efficient SQL for Encoders in Machine Learning Inference Pipelines | 2026 | SIGMOD | 4.9605343e-05 |
| 10,725 | InferF: Declarative Factorization of AI/ML Inferences over Joins | 2026 | SIGMOD | 4.9605343e-05 |
| 10,961 | Matryoshka: Uncovering Relevant Features in Data Lakes to Enhance Machine Learning Applications | 2026 | VLDB | 4.9605343e-05 |
| 11,322 | Accio: Bolt-on Query Federation | 2025 | VLDB | 4.9605343e-05 |
| 11,456 | Enter the Warp: Fast and Adaptive Data Transfer with XDBC | 2025 | VLDB | 4.9605343e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 18 of 18 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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