Quickstep: A Data Platform Based on the Scaling-Up Approach
Summary: Quickstep is a single-node data platform exploiting server parallelism (scaling up) for in-memory data warehousing. Integrates data-management techniques with new query processing for read-mostly in-memory workloads, delivering strong single-node gains. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jignesh M. Patel (University of Wisconsin)
- 2. Harshad Deshmukh (University of Wisconsin)
- 3. Jianqiao Zhu (University of Wisconsin)
- 4. Navneet Potti (University of Wisconsin)
- 5. Zuyu Zhang (University of Wisconsin)
- 6. Marc Spehlmann (University of Wisconsin)
- 7. Hakan Memisoglu (University of Wisconsin)
- 8. Saket Saurabh (University of Wisconsin)
BibTeX Citation
@article{patel_vldb18,
title = {{Quickstep: A Data Platform Based on the Scaling-Up Approach}},
author = {Patel, Jignesh M. and Deshmukh, Harshad and Zhu, Jianqiao and Potti, Navneet and Zhang, Zuyu and Spehlmann, Marc and Memisoglu, Hakan and Saurabh, Saket},
journal = {PVLDB},
series = {{VLDB} '18},
volume = {11},
number = {6},
pages = {663--676},
doi = {10.14778/3184470.3184471},
url = {https://doi.org/10.14778/3184470.3184471},
year = {2018}
}Incoming Citations (Sorted by Pagerank)
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