Database Paper Browser

Back to papers

Mind the Gap: Bridging Multi-Domain Query Workloads with EmptyHeaded

Summary: Demonstrates EmptyHeaded, an interactive engine that unifies domain-specific workloads (graphs, linear algebra) with a single query architecture beyond traditional RDBMS. Leveraging advanced join processing and in-query data transformations, it shows cross-domain performance and flexibility via a Jupyter notebook demo. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11468
Venue
VLDB
Year
2017
Pagerank
4.6676712e-05
Overall Rank
7,723 | 46.28%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
66 Spark SQL: Relational Data Processing in Spark 2015 SIGMOD 0.00061639801
342 EmptyHeaded: A Relational Engine for Graph Processing 2016 SIGMOD 0.00026795977
502 Worst-case Optimal Join Algorithms 2012 PODS 0.00021526612
903 To Join or Not to Join? Thinking Twice about Joins before Feature Selection 2016 SIGMOD 0.0001547016
Previous Page 1 / 1 Next

Semantically Similar Papers