Cloud Graph Database Over Relational Database: Why Neo4j AuraDB

Summary

Contextual insights help you adapt to changing market conditions, predict trends, and make informed business decisions.

You can build intelligent apps that:

• Detect fraud
• Optimize the supply chain
• Personalize customer experiences (CX)

You can even have GenAI apps provide explainable, accurate responses and avoid hallucinations. And that’s just the start. The possibilities are endless.

Unfortunately, a traditional relational database traps your data in rows and columns. This rigid structure removes the data connections and important context needed for a proper analysis.

You can only rebuild these data connections with slow, painful, and time-consuming JOINs. Adding new datasets means more complexity — more rows, more columns, and more JOINS.

A fully managed cloud graph database like Neo4j AuraDB presents a faster, more flexible way forward.

Read this overview of AuraDB to learn how you can:

• Store data in nodes and relationships with the context intact
• Easily evolve your graphs and add new datasets
• Build critical apps with ease on a scalable, secure graph database