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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)

Paper ID
4889
Venue
SIGMOD
Year
2014
Pagerank
0.00010933417
Overall Rank
1,678 | 88.33%
DOI
10.1145/2588555.2610518

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

Rank Cited Paper Year Venue Pagerank
1,294 Distributed SociaLite: A Datalog-Based Language for Large-Scale Graph Analysis 2013 VLDB 0.00012779484
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