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 ...

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 ...

Amazon Web Services Inc. on Wednesday introduced a serverless edition of Amazon Neptune, its cloud-based graph database service. The newly introduced Amazon Neptune Serverless is intended to ease ...

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 ...

Amazon Neptune is equipped to manage all of these graph-based patterns, operating on four primary tenets that define its operation: open standards to prevent framework lock-in, fast performance at ...

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 ...

SEATTLE--(BUSINESS WIRE)--Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company (NASDAQ: AMZN), today announced Amazon Neptune Serverless, a new serverless option for Amazon Neptune that ...