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A Maturity Analysis of Big Data Technologies


  • Radu BONCEA


  • Ionut PETRE


  • Dragos-Marian SMADA





In recent years Big Data technologies have been developed at faster pace due to increase in demand from applications that generate and process vast amount of data. The Cloud Computing and the Internet of Things are the main drivers for developing enterprise solutions that support Business Intelligence which in turn, creates new opportunities and new business models. An enterprise can now collect data about its internal processes, process this data to gain new insights and business value and make better decisions. And this is the reason why Big Data is now seen as a vital component in any enterprise architecture. In this article the maturity of several Big Data technologies is put under analysis. For each technology there are several aspects considered, such as development status, market usage, licensing policies, availability for certifications, adoption, support for cloud computing and enterprise.

Suggested Citation

  • Radu BONCEA & Ionut PETRE & Dragos-Marian SMADA & Alin ZAMFIROIU, 2017. "A Maturity Analysis of Big Data Technologies," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 21(1), pages 60-71.
  • Handle: RePEc:aes:infoec:v:21:y:2017:i:1:p:60-71

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    References listed on IDEAS

    1. Alexandra Maria Ioana FLOREA & Anca Ioana ANDREESCU & Vlad DIACONITA & Adina UTA, 2011. "Approaches Regarding Business Logic Modeling in Service Oriented Architecture," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 15(3), pages 88-98.
    2. Gheorghe MATEI, 2011. "SOA and BPM, a Partnership for Successful Organizations," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 15(4), pages 39-54.
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