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Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Query Languages for Graph Databases

Query Languages for Graph Databases
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Author(s): Kornelije Rabuzin (University of Zagreb, Croatia)
Copyright: 2019
Pages: 15
Source title: Advanced Methodologies and Technologies in Network Architecture, Mobile Computing, and Data Analytics
Source Author(s)/Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-5225-7598-6.ch047


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In the past few years, many NoSQL databases have emerged, including graph databases. NoSQL databases have certain advantages and they can be used in certain domains as an alternative to relational databases. In order to use graph databases, one needs to be familiar with specific languages like Cypher Query Language (CQL) or Gremlin. However, some statements in CQL can be considered too complex for end users as it is shown later on. Because of that, the main idea of this chapter is to explore two other languages for graph databases. One of them is new and it is used to pose queries visually. Since CQL does not support recursion, views, etc., the other language is used to show how to use recursion and views on a graph database.

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