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Graph databases with AWS and dotnet core

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Introduction Graph databases are NoSQL databases that store data using graph structures. In other words, your data will be stored as nodes and edges, which represent your objects and their relationships. Graph databases were created to address the limitations of relational databases when you need to create relationships and consume then in an efficient way.

Some use cases where graph databases are a good choice are: fraud detection, retail, risk and compliance, social networking, knowledge graph, recommendation engines, life sciences, telecommunications, etc.

In my particular use case, we wanted an efficient data storage to understand the relationship between entities that we have registered in our system and extract that knowledge for multiple purposes like fraud detection, retail, risk and compliance, etc. In addition, as our product is could, we analysed the options that AWS offers us to implement graph databases with dotnet core.
Alternatives to work with AWS and dotnet core In s…