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Choosing a Graph Database is one of IT's Big Bold Moves (but it just may pay off)

Graph databases are becoming more important to analytics by offering a capability to store relationships and perform unique algorithms. Graph databases show relationships, true. But the real power might just be in the difficult analysis they can perform. In the graph database world, the graph relationship diagram highlights one of the unique values of graph, namely the ability to keep track of connections in the data. Graph visualizations are the first place to start when it comes to understanding the connections in the data and how the puzzle fits together. However, it is  just one  of the features that makes graph databases potentially valuable for your organization. Let’s look at a couple of examples of that potential and how they come together to empower analytics. Graph Algorithms Even though you may not necessarily visualize certain algorithms with traditional graph ball visualization, graph algorithms including Pagerank, shortest path, all paths and ...