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Big Data Analytics: Analysis of Features and Performance of Big Data Ingestion Tools

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  • Andreea MATACUTA
  • Catalina POPA

Abstract

The purpose of this study was to analyze the features and performance of some of the most widely used big data ingestion tools. The analysis is made for three data ingestion tools, developed by Apache: Flume, Kafka and NiFi. The study is based on the information about tool functionalities and performance. This information was collected from different sources such as articles, books and forums, provided by people who really used these tools. The goal of this study is to compare the big data ingestion tools, in order to recommend that tool which satisfies best the specific needs. Based on the selected indicators, the results of the study reveal that all tools consistently assure good results in big data ingestion, but NiFi is the best option from the point of view of functionalities and Kafka, considering the performance.

Suggested Citation

  • Andreea MATACUTA & Catalina POPA, 2018. "Big Data Analytics: Analysis of Features and Performance of Big Data Ingestion Tools," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 22(2), pages 25-34.
    • Handle: RePEc:aes:infoec:v:22:y:2018:i:2:p:25-34
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    Cited by:

    1. Jaber Alwidian & Sana Abdel Rahman & Maram Gnaim & Fatima Al-Taharwah, 2020. "Big Data Ingestion and Preparation Tools," Modern Applied Science, Canadian Center of Science and Education, vol. 14(9), pages 1-12, September.

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