AWS Database Blog

Category: Amazon Neptune

Cox Automotive scales digital personalization using an identity graph powered by Amazon Neptune

Neptune is a fully managed graph database service that makes it easy to build and run applications using highly connected datasets. Neptune is a purpose-built, high-performance graph database engine optimized for storing billions of relationships and querying the graph with milliseconds latency. Neptune supports both the Property Graph and the Resource Description Framework (RDF) standard.

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Load balance graph queries using the Amazon Neptune Gremlin Client

Amazon Neptune is a fast, reliable, fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets. Graph applications built using Neptune use read replicas to horizontally scale read throughput. These applications use the Neptune reader endpoint to distribute connections across the replicas in the cluster. […]

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Using collaborative filtering on Yelp data to build a recommendation system in Amazon Neptune

“I’m hungry. Where should I go to eat?” It’s one of the most common questions we ask ourselves every day, and when you’re going out to spend money somewhere, you don’t want to simply pick a random place and try it—you want some sort of assurance that the restaurant you choose matches what you’re looking […]

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Visualize query results using the Amazon Neptune workbench

In this post, we look at the new visualization features recently added to the Amazon Neptune workbench and released on August 12, 2020. These additional capabilities allow you to produce an interactive graph diagram representing the results of your Gremlin and SPARQL queries. We look at some Gremlin-specific features and then do the same for SPARQL. Finally, we look at some of the more advanced ways you can modify the visualizations. As a sidenote, this entire post was produced using the workbench.

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Zerobase creates private, secure, and automated contact tracing using Amazon Neptune

This is a guest post from the Zerobase Foundation. In their own words, “The Zerobase Foundation is a nonprofit organization whose mission is to build free, open-source public health technology for the good of communities around the world. Zerobase’s privacy-first contact tracing platform empowers individuals, communities, and local officials to stop the spread of COVID-19.” […]

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Building and querying the AWS COVID-19 knowledge graph

This blog post details how to recreate the AWS COVID-19 knowledge graph (CKG) using AWS CloudFormation and Amazon Neptune, and query the graph using Jupyter notebooks hosted on Amazon SageMaker in your AWS account. The CKG aids in the exploration and analysis of the COVID-19 Open Research Dataset (CORD-19), hosted in the AWS COVID-19 data […]

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Moving to the cloud: Migrating Blazegraph to Amazon Neptune

During the lifespan of a graph database application, the applications themselves tend to only have basic requirements, namely a functioning W3C standard SPARQL endpoint. However, as graph databases become embedded in critical business applications, both businesses and operations require much more. Critical business infrastructure is required not only to function, but also to be highly […]

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Change data capture from Neo4j to Amazon Neptune using Amazon Managed Streaming for Apache Kafka

After you perform a point-in-time data migration from Neo4j to Amazon Neptune, you may want to capture and replicate ongoing updates in real time. For more information about automating point-in-time graph data migration from Neo4j to Neptune, see Migrating a Neo4j graph database to Amazon Neptune with a fully automated utility. This post walks you […]

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How Waves runs user queries and recommendations at scale with Amazon Neptune

This is a guest post by Pavel Vasilyev, Director of Solutions Architecture at ClearScale, an APN Premier Consulting Partner that provides a full range of cloud professional services. When executive management from Waves, a Y Combinator-backed mobile dating app, realized they were outgrowing their existing IT architecture on Google Cloud, they knew it was time […]

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