A graph database uses graph structures for semantic queries. A key concept of the system is the graph which directly relates data items in the store and allows data in the store to be linked together directly. These are the fastest growing area in data management. This interesting information came to us from Datanami in their article, “A Look at the Graph Database Landscape.”
Due to the popularity of graph databases with Twitter, Facebook and Google, they have evolved into a mainstream technology used by enterprises in every industry. The popularity is due to their ability to manage complex data challenges that stymie other databases. They are especially well-suited for analyzing interconnections, which is why there has been a lot of interest in using graph databases to mine data from social media.
Another popular feature of graph databases is their flexibility. They represent your data in a way that makes the most sense to everyone involved, whilst still making the most of the complex interactions between it.
When a taxonomy is well-designed and rooted in standards, it can make finding your content easy and thorough. When graph databases are used, your data is easier to understand.
Melody K. Smith
Sponsored by Access Innovations, the world leader in taxonomies, metadata, and semantic enrichment to make your content findable.
