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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)

Paper ID
11497
Venue
VLDB
Year
2017
Pagerank
4.5129935e-05
Overall Rank
8,415 | 41.52%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
5,321 XInsight: eXplainable Data Analysis Through The Lens of Causality 2023 SIGMOD 5.5676564e-05
7,262 HypDB: A Demonstration of Detecting, Explaining and Resolving Bias in OLAP queries 2018 VLDB 4.7811818e-05
10,722 What If: Causal Analysis with Graph Databases 2025 VLDB 4.1905499e-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
598 Computing Iceberg Queries Efficiently 1998 VLDB 0.00019431661
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