Fundamentals of Real-Time Data Processing Architectures Lambda and Kappa

Martin Feick, Niko Kleer, Marek Kohn

In: Gesellschaft für Informatik (editor). GI-Edition. Seminars S14 - SKILL 2018 - Studierendenkonferenz Informatik, 26. und 27. September 2018 Berlin Pages 55-66 Gesellschaft für Informatik e.V. Bonn 2018.


The amount of data and theim portance of simple, scalable and fault tolerant architectures for processing the data keeps increasing. Big Data being a highly influential topic in numerous businesses has evolved a comprehensive interest in this data. The Lambda as well as the Kappa Architecture represent state-of-the-art real-time data processing architectures for Coping with massive data streams.This paper investigates and compares both architectures with respect to their capabilities and implementation. Moreover, a case study is conducted in order to gain more detailed insights concerning their strengths and weaknesses.

Fundamentals-of-Real-Time-Data-Processing-Architectures-Lambda-and-Kappa.pdf (pdf, 257 KB )

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz