The exponential growth of Big Data has surpassed the point where traditional databases can manage it. Information isn’t only growing in volume but in complexity. Businesses are building vast repositories of data on their operations and their customers, with each entity having multiple points and layers of information. The problem is how to store, process and analyze this data in a meaningful and timely way.
Many organizations are now turning to graph data science to store data and generate insights.