F1 Query: Declarative Querying at Scale
Summary: Federated SQL over heterogeneous data stores and formats (Bigtable, Spanner, spreadsheets) via a stand-alone F1 Query platform. Unifies OLTP, OLAP, and ETL with declarative queries and embedded business logic, enabling scalable, low-latency production querying. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Bart Samwel (Google)
- 2. John Cieslewicz (Google)
- 3. Ben Handy (Google)
- 4. Jason Govig (Google)
- 5. Petros Venetis (Google)
- 6. Chanjun Yang (Google)
- 7. Keith Peters (Google)
- 8. Jeff Shute (Google)
- 9. Daniel Tenedorio (Google)
- 10. Himani Apte (Google)
- 11. Felix Weigel (Google)
- 12. David Wilhite (Google)
- 13. Jiacheng Yang (Google)
- 14. Jun Xu (Google)
- 15. Jiexing Li (Google)
- 16. Zhan Yuan (Google)
- 17. Craig Chasseur (Google)
- 18. Qiang Zeng (Google)
- 19. Ian Rae (Google)
- 20. Anurag Biyani (Google)
- 21. Andrew Harn (Google)
- 22. Yang Xia (Google)
- 23. Andrey Gubichev (Google)
- 24. Amr El-Helw (Google)
- 25. Orri Erling (Google)
- 26. Zhepeng Yan (Google)
- 27. Mohan Yang (Google)
- 28. Yiqun Wei (Google)
- 29. Thanh Do (Google)
- 30. Colin Zheng (Google)
- 31. Goetz Graefe (Google)
- 32. Somayeh Sardashti (Google)
- 33. Ahmed M. Aly (Google)
- 34. Divy Agrawal (Google)
- 35. Ashish Gupta (Google)
- 36. Shiv Venkataraman (Google)
BibTeX Citation
@article{samwel_vldb18,
title = {{F1 Query: Declarative Querying at Scale}},
author = {Samwel, Bart and Cieslewicz, John and Handy, Ben and Govig, Jason and Venetis, Petros and Yang, Chanjun and Peters, Keith and Shute, Jeff and Tenedorio, Daniel and Apte, Himani and Weigel, Felix and Wilhite, David and Yang, Jiacheng and Xu, Jun and Li, Jiexing and Yuan, Zhan and Chasseur, Craig and Zeng, Qiang and Rae, Ian and Biyani, Anurag and Harn, Andrew and Xia, Yang and Gubichev, Andrey and El-Helw, Amr and Erling, Orri and Yan, Zhepeng and Yang, Mohan and Wei, Yiqun and Do, Thanh and Zheng, Colin and Graefe, Goetz and Sardashti, Somayeh and Aly, Ahmed M. and Agrawal, Divy and Gupta, Ashish and Venkataraman, Shiv},
journal = {PVLDB},
series = {{VLDB} '18},
volume = {11},
number = {12},
pages = {1835--1848},
doi = {10.14778/3229863.3229871},
url = {https://doi.org/10.14778/3229863.3229871},
year = {2018}
}Incoming Citations (Sorted by Pagerank)
Showing 25 of 25 citing papers.
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 26 of 26 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 6,452 | Scalable Querying of Nested Data | 2021 | VLDB |
| 2 | 5,367 | Adaptive and Robust Query Execution for Lakehouses at Scale | 2024 | VLDB |
| 3 | 12,194 | Query-Driven Learning for Next Generation Predictive Modeling & Analytics | 2019 | SIGMOD |
| 4 | 3,599 | Scalable Multi-Query Optimization for Exploratory Queries over Federated Scientific Databases | 2008 | VLDB |
| 5 | 10,166 | End-to-End Declarative Data Analytics: Co-designing Engines, Interfaces, and Cloud Infrastructure | 2026 | CIDR |
| 6 | 13,166 | Adaptive Distributed Query Processing | 2003 | VLDB |
| 7 | 3,523 | Online, Asynchronous Schema Change in F1 | 2013 | VLDB |
| 8 | 2,959 | F1 Lightning: HTAP as a Service | 2020 | VLDB |
| 9 | 1,576 | F1 – The Fault-Tolerant Distributed RDBMS Supporting Google's Ad Business | 2012 | SIGMOD |
| 10 | 617 | F1: A Distributed SQL Database That Scales | 2013 | VLDB |