The BigDawg Architecture and Reference Implementation

Jennie M Duggan, Aaron J. Elmore, Tim Kraska, Sam Madden, Tim Mattson, Michael Stonebraker

Research output: Contribution to conferencePaper


This paper presents the reference implementation of a new architecture for future “Big Data” applications. Such applications require “big analytics” as one might expect, but they also require real-time streaming support, real-time analytics, data visualization, and cross-storage queries. We are guided by the principle “one size does not fit all”, and we build on top of three storage engines, each designed for specialized use cases. In addition, we demonstrate novel support for querying across multiple storage engines as well as pioneering solutions to data visualization. In the remainder of this short paper, we describe the first of three BigDawg reference implementations, Bulldog. In the next two years we expect to follow with Pitbull and Rottweiler releases.
Original languageEnglish (US)
Number of pages2
StatePublished - 2015
EventEighth Annual New England Database Day - Massachusetts Institute of Technology, Cambridge, MA, United States
Duration: Jan 30 2015Jan 30 2015


ConferenceEighth Annual New England Database Day
Abbreviated titleNEDB Day
Country/TerritoryUnited States
CityCambridge, MA
Internet address


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