Apache Wayang: A Unified Data Analytics Framework

Kaustubh Beedkar, Bertty Contreras-Rojas, Haralampos Gavriilidis, Zoi Kaoudi, Volker Markl, Rodrigo Pardo-Meza, Jorge Arnulfo Quiane Ruiz

Research output: Journal Article or Conference Article in JournalJournal articleResearchpeer-review

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.
Original languageEnglish
JournalSIGMOD Record
Volume52
Issue number3
Pages (from-to)30-35
Number of pages5
ISSN0163-5808
DOIs
Publication statusPublished - 2 Nov 2023

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