← All publications

2017 · Conference paper

ZipG: A Memory-efficient Graph Store for Interactive Queries

Anurag Khandelwal, Zongheng Yang, Evan Ye, Rachit Agarwal and Ion Stoica

ACM SIGMOD, 2017

Abstract

ZipG is a distributed, memory-efficient graph store for interactive queries. It stores graph data in compressed form and executes a broad range of graph queries directly on that representation, keeping a larger fraction of the workload in memory. Its minimal API can express functionalities from several industrial graph stores. On a 244 GB server, ZipG runs tens of thousands of queries over more than half a terabyte of raw graph data, achieving up to 23 times the throughput of Neo4j and Titan, with similar gains over Titan in distributed deployments.

Publication details

Venue
ACM SIGMOD
Publication year
2017

BibTeX

@inproceedings{zipg,
  author = {Khandelwal, Anurag and Yang, Zongheng and Ye, Evan and Agarwal, Rachit and Stoica, Ion},
  title = {{ZipG: A Memory-efficient Graph Store for Interactive Queries}},
  booktitle = {ACM SIGMOD},
  month = may,
  year = {2017}
}