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Graph Databases: Their Power and Limitations

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F15%3A10297454" target="_blank" >RIV/00216208:11320/15:10297454 - isvavai.cz</a>

  • Result on the web

    <a href="http://link.springer.com/chapter/10.1007%2F978-3-319-24369-6_5#page-1" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-319-24369-6_5#page-1</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-24369-6_5" target="_blank" >10.1007/978-3-319-24369-6_5</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Graph Databases: Their Power and Limitations

  • Original language description

    Real world data offers a lot of possibilities to be represented as graphs. As a result we obtain undirected or directed graphs, multigraphs and hypergraphs, labelled or weighted graphs and their variants. A development of graph modelling brings also newapproaches, e.g., considering constraints. Processing graphs in a database way can be done in many different ways. Some graphs can be represented as JSON or XML structures and processed by their native database tools. More generally, a graph database isspecified as any storage system that provides index-free adjacency, i.e. an explicit graph structure. Graph database technology contains some technological features inherent to traditional databases, e.g. ACID properties and availability. Use cases of graph databases like Neo4j, OrientDB, InfiniteGraph, FlockDB, AllegroGraph, and others, document that graph databases are becoming a common means for any connected data. In Big Data era, important questions are connected with scalability fo

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA13-08195S" target="_blank" >GA13-08195S: Highly Scalable Parallel and Distributed Methods of Data Processing in E-science</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2015

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Computer Information Systems and Industrial Management

  • ISBN

    978-3-319-24368-9

  • ISSN

  • e-ISSN

  • Number of pages

    12

  • Pages from-to

    58-69

  • Publisher name

    Springer International Publishing

  • Place of publication

    Switzerland

  • Event location

    Warsaw

  • Event date

    Sep 24, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article