Navigating the Maze of Graph Analytics Frameworks using Massive Graph Datasets
Summary: Comparative study of graph analytics frameworks (GraphLab, CombBLAS, Giraph, SociaLite, Galois) vs hand-optimized baselines on massive sparse graphs. Pinpoints bottlenecks across algorithms, models, and runtimes; outlines pragmatic changes to shrink the ninja gap and guide framework choice by ease of use. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Nadathur Satish (Intel)
- 2. Narayanan Sundaram (Intel)
- 3. Md. Mostofa Ali Patwary (Intel)
- 4. Jiwon Seo (Stanford University)
- 5. Jongsoo Park (Intel)
- 6. M. Amber Hassaan (University of Texas)
- 7. Shubho Sengupta (Intel)
- 8. Zhaoming Yin (Georgia Institute of Technology)
- 9. Pradeep Dubey (Intel)
BibTeX Citation
@inproceedings{satish_sigmod14,
title = {{Navigating the Maze of Graph Analytics Frameworks using Massive Graph Datasets}},
author = {Satish, Nadathur and Sundaram, Narayanan and Patwary, Md. Mostofa Ali and Seo, Jiwon and Park, Jongsoo and Hassaan, M. Amber and Sengupta, Shubho and Yin, Zhaoming and Dubey, Pradeep},
series = {{SIGMOD} '14},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2588555.2610518},
url = {https://dl.acm.org/doi/10.1145/2588555.2610518},
year = {2014}
}
Incoming Citations (Sorted by Pagerank)
Showing 13 of 13 citing papers.
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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 |
|---|---|---|---|---|
| 1,539 | Distributed SociaLite: A Datalog-Based Language for Large-Scale Graph Analysis | 2013 | VLDB | 0.000104329 |
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