AWS Database Blog
Build graph applications faster with Amazon Neptune public endpoints
Developing applications on Amazon Neptune Database historically required users setup access into the VPC where it is hosted and use either 3rd party drivers or direct HTTP requests. In this post, we discuss how two key features, public endpoints and the Neptune Data API, solve these common challenges in Amazon Neptune application development. Public endpoints […]
How Prisma Cloud built Infinity Graph using Amazon Neptune and Amazon OpenSearch Service
Palo Alto Network’s Prisma Cloud is a leading cloud security platform protecting enterprise cloud adoption from code to cloud workflows. Palo Alto Networks chose Amazon Neptune Database and Amazon OpenSearch Service as the core services to power its Infinity Graph. In this post, we discuss the scale Palo Alto Networks requires from these core services and how we were able to design a solution to meet these needs. We focus on the Neptune design decisions and benefits, and explain how OpenSearch Service fits into the design without diving into implementation details.
Techniques to improve the state-of-the-art in Cloud FinOps using Amazon Neptune
Cloud computing has changed almost every business and industry by changing the delivery and consumption model. With the Cloud, businesses no longer need to plan for and procure servers and other IT infrastructure weeks or months in advance. This allows more flexibility and reliability, increased performance and efficiency, and helps to lower IT costs. The […]
Building a knowledge graph in Amazon Neptune using Amazon Comprehend Events
On 28-Oct-22, the AWS CloudFormation template and Jupyter notebook linked in this post were updated to 1/ add openCypher queries along with the existing Gremlin and SPARQL queries, 2/ updated to use Sagemaker newer Amazon Linux 2 instances, 3/ fixed a bug in the RDF generation code that improperly labeled a property as an RDF […]



