That means managers look to analytic solutions that offer data visualization that complements digital asset management. Graph databases allow users to visualize queried data in terms of nodes — ...

Organizations are struggling with a fundamental challenge – there’s far more data than they can handle. Sure, there’s a shared vision to analyze structured and unstructured data in support of better ...

The graph database approach optimizes each element of the grid in real time, fixes things rapidly when any point in the grid fails. Those who work in utilities know all too well how complicated it can ...

The relational database is primarily oriented toward the modeling of objects (entities) and relationships. Generally, the relational model works best when there are a relatively small and static ...

Graph database expert Marko Budiselić has some thoughts on why it's time to be more data source ecumenical. Coming from the world of graph technology, ...

In terms of actual adoption, the fastest growing segment of the database market actually belongs to graph databases that are increasingly being used to drive new classes of applications that require ...

Polyglot persistence is becoming the norm in big data. Gone are the days when relational databases were the one store to rule them all; now the notion of using stores with data models that best align ...

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The Bulgarian graph database startup Graphwise today announced a major upgrade to its flagship GraphDB tool, adding new features aimed at boosting enterprise knowledge management and creating a more ...

Every decade seems to have its database. During the 1990s, the relational database became the principal data environment, its ease of use and tabular arrangement making it a natural for the growing ...