AWS Database Blog

Category: Amazon Neptune

Use cases and best practices to optimize cost and performance with Amazon Neptune Serverless

In this post, we show you common use cases for Amazon Neptune Serverless, and how you can optimize for both cost and performance by following recommended best practices. Amazon Neptune is a fully managed database service built for the cloud that makes it easier to build and run graph applications. It supports both RDF and […]

Generate suggestions for leisure activities in real time with Amazon Neptune

DoGet App is a mobile application that connects friends for sharing in-person moments together. Suggestions for activities to engage in with friends are presented to users in card deck format: swiping up indicates no interest in an activity, and swiping down indicates interest and prompts a follow-up on when a user is available (such as […]

Model molecular SMILES data with Amazon Neptune and RDKit

Modeling chemical structures can be a complex and tedious process, even with the help of modern programs and technology. The ability to explore chemical structures at the most fundamental level of atoms and the bonds that connect them is an essential process in drug discovery, pharmaceutical research, and chemical engineering. By infusing chemical research with […]

Accelerate graph query performance with caching in Amazon Neptune, Part 3: Neptune cluster-wide caching architectures with Amazon ElastiCache

Graph databases are uniquely designed to address query patterns focused on relationships within a given dataset. From a relational database perspective, graph traversals can be represented as a series of table joins, or recursive common table expressions (CTEs). Not only are these types of SQL query patterns computationally expensive and complex to write (especially for […]

Accelerate graph query performance with caching in Amazon Neptune, Part 2: Additional Neptune caching features

Graph databases are uniquely designed to address query patterns focused on relationships within a given dataset. From a relational database perspective, graph traversals can be represented as a series of table joins, or recursive common table expressions (CTEs). Not only are these types of SQL query patterns computationally expensive and complex to write (especially for […]

Accelerate graph query performance with caching in Amazon Neptune, Part 1: Queries and buffer pool caching

Graph databases are uniquely designed to address query patterns focused on relationships within a given dataset. From a relational database perspective, graph traversals can be represented as a series of table joins, or recursive common table expressions (CTEs). Not only are these types of SQL query patterns computationally expensive and complex to write (especially for […]

Supply chain data analysis and visualization using Amazon Neptune and the Neptune workbench

Many global corporations are managing multiple supply chains, and they depend on those operations to not only deliver goods on time but to respond to divergent customer and supplier needs. According to a McKinsey study, it’s estimated that significant disruptions to production now occur every 3.7 years on average, adding new urgency to supply chain […]

Build a knowledge graph on Amazon Neptune with AI-powered video analysis using Media2Cloud

A knowledge graph allows us to combine data from different sources to gain a better understanding of a specific problem domain. In this post, we use Amazon Neptune (a managed graph database service) to create a knowledge graph about technology products. In addition to the data we already have in the graph, we add the […]

How DevOcean built a vulnerability remediation management platform for cloud-native applications using Amazon Neptune

In this post, we discuss how DevOcean uses Amazon Neptune to power its cloud application vulnerability remediation platform. The DevOcean platform provides a unified dashboard to manage security events across all the layers of a customer’s cloud applications. With DevOcean, users can prioritize risk, reduce alert fatigue, and manage remediation faster with appropriate owners within […]

How Getir build a comprehensive fraud detection system using Amazon Neptune and Amazon DynamoDB

This is a guest post co-authored by Berkay Berkman, Yağız Yanıkoğlu, Mutlu Polatcan, Mahmut Turan, Umut Cemal Kıraç from Getir. Getir is an ultrafast delivery pioneer that revolutionized last-mile delivery in 2015 with its 10-minute grocery delivery proposition. Getir’s story started in Istanbul, and they launched operations in the UK, Netherlands, Germany, France, Spain, Italy, […]