Publications & Talks

A SQL OLAP benchmark based on the LDBC Social Network Benchmark

GDC TUC: Graph Data Council's Twenty-First Technical User Community Meeting, 2026

Authors

  • Nuno Faria

Abstract

Large sets of data are now commonly stored in open file formats like Apache Parquet. Analytical SQL systems are usually used when we want to perform analytical workloads directly over them, avoiding the need to pre-load them into a dedicated database. This talk explores some preliminary results about the performance of such systems in graph-based analytical workloads.

BibTeX

@misc{gdc-sql-bench,
	author       = {Nuno Faria},
	title        = {A SQL OLAP benchmark based on the LDBC Social Network Benchmark},
	howpublished = {Graph Data Council's Twenty-First Technical User Community Meeting},
	year         = {2026},
	month        = sep,
	url          = {https://nuno-faria.github.io/publications/gdc-sql-bench}
}

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