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Shark: Fast Data Analysis Using Coarse-grained Distributed Memory

Summary: Shark is a data-analysis system built on a coarse-grained distributed shared-memory abstraction, unifying SQL querying with near-data analytics. Scales to thousands of fault-tolerant nodes; delivers 40x faster queries vs Hive and 25x faster ML vs MapReduce on large datasets. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4583
Venue
SIGMOD
Year
2012
Pagerank
8.6683713e-05
Overall Rank
2,488 | 82.70%
DOI
-

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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
42 A Comparison of Approaches to Large-Scale Data Analysis 2009 SIGMOD 0.00073498298
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