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Graph Databases and the New Wave of Graph Analytics

A report by The Bloor Group

For decades, the relational database has reliably served most data analysis needs. But it’s weak in two areas: complex hierarchical data and processing graphical data structures. Growing volumes of complex and graphical data have revealed the shortcomings of relational databases. Graph databases are designed to process data in a graphical manner and enable queries that traverse data networks. They’re complementary to relational databases, and many have been engineered to scale out and process very large volumes of data.

Read this report to learn:

What’s behind the need for an alternative to relational databases


Fundamental differences between relational, document and graph databases

Which business sectors are adopting graph analytics applications

You'll also get:

  • An introduction to Cray’s answer to graph analytics — the Cray® Urika®-GX platform and Cray Graph Engine
  • A close look at key use cases from the cybersecurity and health sciences industries