Nearly five years ago, Amazon Web Services (AWS) launched Neptune, a service for running apps that need a graph database to store and query connected datasets. Now, to keep up with the serverless ...

Data models and query languages are admittedly somewhat dry topics for people who are not in the inner circle of connoisseurs. Although graph data models and query languages are no exception to that ...

The AWS Neptune graph database is designed to store a wide collection of complex relationships as a scalable service. It supports a number of different and evolving standards for representing ...

There's been a debate of sorts in AI circles about which database is more important in finding truthful information in generative AI applications: graph or vector databases. AWS decided to leave the ...

Even before the announcement, AWS emphasized two key points: Neptune would enable users to seamlessly go from proof of concept to production, and there was great interest by many major clients. Its ...

Learn how you can use Amazon Neptune’s Graph Database to simplify building and running graph applications. When Amazon Web Services announced the general availability of Amazon Neptune, thousands of ...