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#dotnet #database #sql 

Sometimes modelling your data in a relational database like SQL server is really hard, or awkward. And modelling it in a document database, only makes a lot of sense if the data can be persisted as document without too many relations. But what if you have data that is relational, and awkward to model in a relational database? Well, then a graph database might be the right tool for the job.

However, getting started with graph databases can be a bit daunting if you have only ever worked with SQL server. Especially since most graph databases are so "far" away from your standard Microsoft domain.

But it really doesn't have to be. Graph databases, like neo4j, are awesome for a lot of scenarios. So, maybe shying away from using them because of the daunting task of getting started isn't the best solution. And honestly, getting started with neo4j as a .NET developer, isn't really that complicated.

In this talk, Chris Klug, a senior .NET developer with 25+ years of coding experience, will give you the introduction to neo4j that he wished somebody would have given to him years ago.

In just one hour, you will see how to get neo4j up and running on your computer. How you connect to it from your .NET application. And how you query it using the Cypher query language. Basically, everything you need to get started with ne04j. Or...everything you need, to go from zero to neo4j n00b...

NDC Conferences

Neo4j is a graph database that uses nodes and relationships instead of tables and foreign keys. Getting started is straightforward—run it via Docker, Neo4j Desktop, or the cloud-based Aura DB. The query language, Cypher, uses ASCII-art syntax that mirrors graph drawings, making queries intuitive. Nodes have labels and properties (JSON-like), relationships are directional and first-class citizens with their own properties. Common operations (match, create, merge, delete) follow consistent patterns. Graph traversal enables powerful queries like shortest path calculations that are difficult in SQL. Performance tuning involves understanding query plans and structuring data around common query patterns. A .NET driver allows integration with ASP.NET applications using familiar async patterns.

neo4j for the relational .NET developer - Chris Klug - NDC London 2026