Orca: A modular query optimizer architectur for big data

  • Soliman M
  • Petropoulos M
  • Waas F
 et al. 
  • 66


    Mendeley users who have this article in their library.
  • 26


    Citations of this article.


The performance of analytical query processing in data management systems depends primarily on the capabilities of the system's query optimizer. Increased data volumes and heightened interest in processing complex analytical queries have prompted Pivotal to build a new query optimizer.

In this paper we present the architecture of Orca, the new query optimizer for all Pivotal data management products, including Pivotal Greenplum Database and Pivotal HAWQ. Orca is a comprehensive development uniting state-of-the-art query optimization technology with own original research resulting in a modular and portable optimizer architecture.

In addition to describing the overall architecture, we highlight several unique features and present performance comparisons against other systems.

Author-supplied keywords

  • cost model
  • mpp
  • parallel processing
  • query optimization

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document


  • Mohamed a. Soliman

  • Michalis Petropoulos

  • Florian Waas

  • Sivaramakrishnan Narayanan

  • Konstantinos Krikellas

  • Rhonda Baldwin

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free