Data analytics change on a daily basis. Organizations fight to stay abreast of the technological demands, especially when transitioning from relational databases to graph databases. Smart Data Collective brought this interesting topic to our attention in their article, “Understanding the Evolution from Relationship Databases to Semantic Graph Databases.”
The real challenge seems to involve big data and how to manage it using “older” technology that is still regularly deployed today. Companies are seeing the benefits of upgrading to an enhanced version of the relational database – the semantic graph model.
This graph-based model can do everything that relational systems can do and more, including reasonably accommodating much richer varieties of data at volume.
Semantic graph databases enhance technology, database fundamentals, and the skills required to use them in a way that makes databases better, faster and cheaper than ever before. The capabilities of graph exceed those of relational simply because database necessities are easier to use and manage in a semantic graph environment.
Melody K. Smith
Sponsored by Access Innovations, the world leader in taxonomies, metadata, and semantic enrichment to make your content findable.
