Amazon continues to bring out advanced tools for AWS, with useful examples of their practical use, at low trial and initial testing cost. I particularly like the examples given here about how and why you would use graph databases. Note the implications for embedding 'intelligence' in a database.
AWS Announces General Availability of Amazon Neptune
Amazon Neptune, a fast and reliable graph database, makes it easy for customers to build applications on highly connected datasets
Thousands of customers, including Samsung Electronics, Pearson, Intuit, Siemens, AstraZeneca, FINRA, LifeOmic, Blackfynn, and Amazon Alexa, participated in the preview, building new graph applications and battle-testing their production workloads
May 30, 2018 04:46 PM Eastern Daylight Time
SEATTLE--(BUSINESS WIRE)--Today, Amazon Web Services, Inc. (AWS), an Amazon.com company (NASDAQ: AMZN), announced general availability of Amazon Neptune, a fast, reliable, and fully managed graph database service. Amazon Neptune efficiently stores and navigates highly connected data, allowing developers to create sophisticated, interactive graph applications that can query billions of relationships with millisecond latency. In the preview, customers used Neptune to build social networks, recommendation engines, fraud detection, knowledge graphs, drug discovery applications, and more.
With Amazon Neptune there are no upfront costs, licenses, or commitments required; customers pay only for the Neptune resources they use. To get started with Amazon Neptune, visit https://aws.amazon.com/neptune
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