Apache Wayang: A Unified Data Analytics Framework
- Kaustubh Beedkar,
- Bertty Contreras-Rojas,
- Haralampos Gavriilidis,
- ,
- Volker Markl,
- Rodrigo Pardo-Meza
- Indian Institute of Technology Delhi,
- Technical University of Berlin,
Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-reviewOpen access
Publication Information
Output type
Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-reviewOriginal language
EnglishPages 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
0163-5808Publication 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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