One Trillion Edges: Graph Processing at Facebook-Scale
Summary: Scales Apache Giraph to Facebook graphs of up to one trillion edges, addressing usability and performance beyond existing benchmarks. Extends Pregel to support reusable, complex production workflows and reports real-world operational and performance results. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Avery Ching (Meta)
- 2. Sergey Edunov (Meta)
- 3. Maja Kabiljo (Meta)
- 4. Dionysios Logothetis (Meta)
- 5. Sambavi Muthukrishnan (Meta)
BibTeX Citation
@article{ching_vldb15,
title = {{One Trillion Edges: Graph Processing at Facebook-Scale}},
author = {Ching, Avery and Edunov, Sergey and Kabiljo, Maja and Logothetis, Dionysios and Muthukrishnan, Sambavi},
journal = {PVLDB},
series = {{VLDB} '15},
volume = {8},
number = {12},
pages = {1804--1815},
doi = {10.14778/2824032.2824077},
url = {https://doi.org/10.14778/2824032.2824077},
year = {2015}
}Incoming Citations (Sorted by Pagerank)
Showing 40 of 40 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3 | Pregel: A System for Large-Scale Graph Processing | 2010 | SIGMOD | 0.0012087459 |
| 6 | Pig Latin: A Not-So-Foreign Language for Data Processing | 2008 | SIGMOD | 0.0010515896 |
| 31 | Hive - A Warehousing Solution Over a Map-Reduce Framework | 2009 | VLDB | 0.00049821554 |
| 384 | HaLoop: Efficient Iterative Data Processing on Large Clusters | 2010 | VLDB | 0.00019471648 |
| 445 | Trinity: A Distributed Graph Engine on a Memory Cloud | 2013 | SIGMOD | 0.00018168823 |
| 512 | Scalable SPARQL Querying of Large RDF Graphs | 2011 | VLDB | 0.00017053842 |
| 1,310 | An Experimental Comparison of Pregel-like Graph Processing Systems | 2014 | VLDB | 0.00011063446 |
| 1,504 | Asynchronous Large-Scale Graph Processing Made Easy | 2013 | CIDR | 0.00010450172 |
| 3,585 | A Comparison of Platforms for Implementing and Running Very Large Scale Machine Learning Algorithms | 2014 | SIGMOD | 7.187207e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 239 | The Ubiquity of Large Graphs and Surprising Challenges of Graph Processing | 2018 | VLDB |
| 2 | 1,677 | Navigating the Maze of Graph Analytics Frameworks using Massive Graph Datasets | 2014 | SIGMOD |
| 3 | 5,789 | MOCgraph: Scalable Distributed Graph Processing Using Message Online Computing | 2015 | VLDB |
| 4 | 3,068 | Scalable Big Graph Processing in MapReduce | 2014 | SIGMOD |
| 5 | 4,898 | Systems for Big-Graphs | 2014 | VLDB |
| 6 | 497 | From "Think Like a Vertex" to "Think Like a Graph" | 2014 | VLDB |
| 7 | 7,288 | Experimental Analysis of Distributed Graph Systems | 2018 | VLDB |
| 8 | 1,863 | Large-Scale Distributed Graph Computing Systems: An Experimental Evaluation | 2015 | VLDB |
| 9 | 1,310 | An Experimental Comparison of Pregel-like Graph Processing Systems | 2014 | VLDB |
| 10 | 3 | Pregel: A System for Large-Scale Graph Processing | 2010 | SIGMOD |