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Apache Wayang: A Unified Data Analytics Framework

  • Kaustubh Beedkar
    ,
  • Bertty Contreras-Rojas
    ,
  • Haralampos Gavriilidis
    ,
  • ,
  • Volker Markl
    ,
  • Rodrigo Pardo-Meza
Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-review

Open access

Publication Information

Output type

Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 30-35 (5 pages)

Journal (Volume, Issue Number)

S I G M O D Record (Volume 52, Issue 3)

Publication milestones

  • Published - 02/11/2023

Publication status

Published - 02/11/2023

ISSN

0163-5808

Publication IDs

  • Scopus: 85176388905

Abstract

The large variety of specialized data processing platforms and the increased complexity of data analytics has led to the need for unifying data analytics within a single framework. Such a framework should free users from the burden of (i) choosing the right platform(s) and (ii) gluing code between the different parts of their pipelines. Apache Wayang (Incubating) is the only open-source framework that provides a systematic solution to unified data analytics by integrating multiple heterogeneous data processing platforms. It achieves that by decoupling applications from the underlying platforms and providing an optimizer so that users do not have to specify the platforms on which their pipeline should run. Wayang provides a unified view and processing model, effectively integrating the hodgepodge of heterogeneous platforms into a single framework with increased usability without sacrificing performance and total cost of ownership. In this paper, we present the architecture of Wayang, describe its main components, and give an outlook on future directions.

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