Graph analytics is an emerging form of data analysis that works particularly well with complex relationships. It involves moving data points and relationships between data points into a graph format and codes queries more efficiently, and it can output results in an easy-to-digest visual format. Tech Republic brought this to our attention in their article, “How graph databases help analyze complex relationships.”
Because more and more data and the relationships it establishes are being seen as fluctuating and mobile, in lieu of their predecessors being hierarchical or locked into columns and rows, graph databases are well positioned to be able to see, analyze and change with it.
Graph databases will not replace every database. Hierarchical databases have been in existence for more than 50 years, and they aren’t going away soon. A majority of systems use hierarchical databases that represent relationships between data items. Your database architecture should include them. However, graph database relationships can be used to recognize the most relevant data relationships.
Melody K. Smith
Sponsored by Data Harmony, a unit of Access Innovations, the world leader in indexing and making content findable.