Enterprises today face an ever-increasing set of tools for storing and managing data. But which ones meet your business needs while integrating within your existing ecosystem? Those are the ones that deserve a spot in your enterprise toolbox.

For example, relational databases (RDBMS) are tried and true in several situations. However, they grind to a halt when you’re aiming to unearth deep insights in complex data sets. For that type of work, organizations like eBay, NASA, and many Fortune 500 financial service companies use another tried-and-true tool in their enterprise toolbox: graph databases.

If you’re not familiar with graph databases, it’s the perfect time for an introduction! Join us for this on-demand webinar, where we’ll cover:

  • What graph databases are
  • Which use cases graph databases are especially well suited for
  • Where technologies such as “multi-model databases” fall short
  • How graph databases fit into the wider data ecosystem
  • Why knowledge graphs and graph databases are natural choices for LLM and GenAI use cases

John Stegeman
Senior Graph Database Product Specialist

John “Steggy” Stegeman is a Senior Graph Database Product Specialist with Neo4j. Prior to joining Neo4j, he held solution architect and consulting roles at Oracle, DXC, Waterline Data, and Hitachi Vantara. John is a self-avowed technology nerd who loves using technology to solve real-world enterprise challenges



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