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Vertexica: your relational friend for graph analytics!

Author(s)
Jindal, Alekh; Rawlani, Praynaa; Wu, Eugene; Deshpande, Amol; Madden, Samuel R.; Stonebraker, Michael; ... Show more Show less
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Abstract
In this paper, we present Vertexica, a graph analytics tools on top of a relational database, which is user friendly and yet highly efficient. Instead of constraining programmers to SQL, Vertexica offers a popular vertex-centric query interface, which is more natural for analysts to express many graph queries. The programmers simply provide their vertex-compute functions and Vertexica takes care of efficiently executing them in the standard SQL engine. The advantage of using Vertexica is its ability to leverage the relational features and enable much more sophisticated graph analysis. These include expressing graph algorithms which are difficult in vertex-centric but straightforward in SQL and the ability to compose end-to-end data processing pipelines, including pre- and post- processing of graphs as well as combining multiple algorithms for deeper insights. Vertexica has a graphical user interface and we outline several demonstration scenarios including, interactive graph analysis, complex graph analysis, and continuous and time series analysis.
Date issued
2014-08
URI
http://hdl.handle.net/1721.1/100912
Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory; Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Journal
Proceedings of the VLDB Endowment
Publisher
Association for Computing Machinery (ACM)
Citation
Alekh Jindal, Praynaa Rawlani, Eugene Wu, Samuel Madden, Amol Deshpande, and Mike Stonebraker. 2014. Vertexica: your relational friend for graph analytics!. Proc. VLDB Endow. 7, 13 (August 2014), 1669-1672.
Version: Author's final manuscript
ISSN
21508097

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