ZaliQL: Causal Inference from Observational Data at Scale
Summary: SQL-based causal inference in PostgreSQL enables in-database analysis of observational data at scale. Supports state-of-the-art causal methods and ships with a GUI for live, in-database exploration of treatment effects (e.g., weather impacts on flight delays). (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Babak Salimi (University of Washington)
- 2. Corey Cole (University of Washington)
- 3. Dan R. K. Ports (University of Washington)
- 4. Dan Suciu (University of Washington)
BibTeX Citation
@article{salimi_vldb17,
title = {{ZaliQL: Causal Inference from Observational Data at Scale}},
author = {Salimi, Babak and Cole, Corey and Ports, Dan R. K. and Suciu, Dan},
journal = {PVLDB},
series = {{VLDB} '17},
volume = {10},
number = {12},
pages = {1957--1960},
doi = {10.14778/3137765.3137819},
url = {https://doi.org/10.14778/3137765.3137819},
year = {2017}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,876 | XInsight: eXplainable Data Analysis Through The Lens of Causality | 2023 | SIGMOD | 6.4687705e-05 |
| 7,122 | HypDB: A Demonstration of Detecting, Explaining and Resolving Bias in OLAP queries | 2018 | VLDB | 5.6968152e-05 |
| 10,958 | What If: Causal Analysis with Graph Databases | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 577 | Computing Iceberg Queries Efficiently | 1998 | VLDB | 0.00016235949 |
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