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Saving Large Semantic Data in Cloud: A Survey of the Main DBaaS Solutions


  • Bogdan IANCU
  • Tiberiu Marian GEORGESCU


In the last decades, the evolution of ICT has been spectacular, having a major impact on all the other sectors of activity. New technologies have emerged, coming up with solutions to existing problems and opening up new opportunities. This article discusses solutions that combine big data, semantic web and cloud computing technologies. The authors analyze various possibilities of storing large volumes of data in triplestore databases, which are currently the matter of choice for storing semantic web data. The paper first presents the existing solutions for installing triplestores on the premises and then focuses on triplestores as DBaaS (in cloud). Comparative analyzes are made between the various identified solutions. This paper provides useful means for choosing the most appropriate database solution for semantic web data representation, both on premises or as DBaaS.

Suggested Citation

  • Bogdan IANCU & Tiberiu Marian GEORGESCU, 2018. "Saving Large Semantic Data in Cloud: A Survey of the Main DBaaS Solutions," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 22(1), pages 5-16.
  • Handle: RePEc:aes:infoec:v:22:y:2018:i:1:p:5-16

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    Cited by:

    1. Alin ZAMFIROIU & Paul POCATILU & Sergiu Marin CAPISIZU, 2020. "CrawVulns - A Software Solution for Vulnerabilities Analysis," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 24(1), pages 38-47.
    2. Bogdan IANCU, 2019. "Web Crawler for Indexing Video e-Learning Resources: A YouTube Case Study," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 23(2), pages 15-24.


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