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A Survey on Networked Data Streaming With Apache Kafka

Authors:Theofanis P. Raptis, Andrea Passarella

A Survey on Networked Data Streaming With Apache Kafka


Apache Kafka has become a popular solution for managing networked data streaming in a variety of applications, from industrial to general purpose. This paper systematically surveys the research literature in this field by carefully classifying it into key macro areas, namely algorithms, networks, data, cyber-physical systems, and security. Through this meticulous classification, the paper aims to identify and analyze the optimization aspects relevant to each area, drawing upon practical applications as the basis for analysis. In this respect, the paper synthesizes and consolidates existing knowledge, saving researchers valuable time and effort in searching for relevant information across multiple sources. The tangible benefits of this survey paper include providing a consolidated knowledge base about research-intensive Apache Kafka topics, highlighting practical insights and novel approaches, pointing up cross-domain applications, identifying related research challenges, and serving as a trusted reference for the Apache Kafka community.

Publication type:

Title of the journal:

IEEE Access

Year of Publication


Pages:85333 – 85350
Number, date or frequency of the Journal:Vol. 11

Key Facts

  • Project Coordinator: Dr. Sotiris Ioannidis
  • Institution: Foundation for Research and Technology Hellas (FORTH)
  • E-mail: 
  • Start: 01.01.2021
  • Duration: 36 months
  • Participating Organisations: 17
  • Number of countries: 12

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This project has received funding from the European Union’s Horizon 2020 Research and Innovation program under grant agreement No 957337. The website reflects only the view of the author(s) and the Commission is not responsible for any use that may be made of the information it contains.