What Is a Graph Database?

This article explains why connected data requires a connected approach and how Neo4j’s graph database helps organizations overcome the limitations of traditional databases. Instead of forcing highly connected data into rigid tables, graph technology preserves relationships and provides a more flexible way to understand complex data.

By creating a knowledge graph, organizations can uncover hidden connections, model real-world relationships and gain a clearer view of how their business operates across networks, hierarchies and processes.

Key Takeaways:

• Learn how graph databases differ from traditional databases
• Preserve and analyze relationships across connected data
• Build flexible knowledge graphs that evolve with your organization
• Uncover hidden insights across networks and hierarchies
• Reduce complexity associated with traditional database joins
• Gain a clearer understanding of business operations and dependencies

Access the full article to learn how graph technology helps organizations unlock greater value from connected data.