Συλλογές
Τίτλος Graph database systems APIs and languages
Δημιουργός Zoudiari, Christina
Συντελεστής Kotidis, Yannis
Athens University of Economics and Business, Department of Informatics
Τύπος Text
Φυσική περιγραφή 94p.
Γλώσσα en
Περίληψη Graph databases are becoming increasingly famous as an alternative to relational databases for managing complex, densely-connected, semi-structured data. This project is a survey for the most representative APIs and languages used in graph databases, concerning certain types of queries. Even though there are several related works, such as Performance of Graph Query Languages: Comparison of Cypher, Gremlin and Native Access in Neo4j, Florian Holzschuher & Prof. Dr. René Peinl, 2013, we decided to do a complete survey. More particularly, what I do more is that I study various graph databases and especially Neo4j. Apart from that, several different types of queries executed in Neo4j using various languages and APIs, such as Cypher, Gremlin, Neo4j’s native access and Cypher REST. Two different types of datasets were used in order to create our test graph databases. By demonstrating the advantages and disadvantages of each language and API, we can see which of all, is the best solution for every query and under certain circumstances.
Λέξη κλειδί REST
Native Access
Gremlin
Graph databases
Neo4j
Cypher
Ημερομηνία 28-02-2015
Άδεια χρήσης https://creativecommons.org/licenses/by/4.0/