Anything Is Possible: Applying Graphs to the Most Vexing Data Management Problems

Summary

With the rise of big data and GenAI, the need for dynamic, scalable management solutions is more apparent than ever.

If you don’t have the right tools, navigating and analyzing complex data can feel daunting – or even impossible. Only one structure can embrace the complexity of real-world data in its native form: a graph database, the Swiss Army knife of databases.

By organizing billions of entities into a matrix of nodes and connectors, graph databases make it simple to identify patterns, derive context, and map unexpected data combinations. This is why they’re ideal for fraud detection, parts assembly, medical and legal research, network analysis, and other complicated cases dealing with relationships. Other data systems require you to abstract out the elements of interest, potentially losing valuable insights in the process.

Explore IDC’s Analyst Report to Learn:

• Where graphs fit in the database pantheon
• The benefits that graph brings to GenAI and other graph use cases
• Why graphs need their own database management system (DBMS)
• How graph databases integrate in a data ecosystem

Download your free copy of Anything Is Possible: Applying Graphs to the Most Vexing Data Management Problems to learn more.