Category: Amazon Neptune

Amazon Neptune is purpose-built to store and navigate relationships. This provides advantages over relational databases for use cases like social networking, recommendation engines, and fraud detection, where you need to create relationships between data and quickly query these relationships. At AWS, security is Job Zero. Neptune offers several security features, including network isolation, encryption, and […]

Today, Amazon Neptune announced the general availability of Amazon Neptune Global Database. You can use Neptune Global Database to build graph applications across multiple AWS Regions using the same graph database. Neptune Global Database is available in the US East (N. Virginia), US East (Ohio), US West (N. California), US West (Oregon), Europe (Ireland), Europe […]

A relational database is like a multitool: it can do many things, but it’s not perfectly suited to all tasks. For example, suppose a police department has been using a relational database to perform crime data analysis. As their breadth of sources and volume of data grows, they start to experience performance issues in querying […]

Today, we announced the general availability of openCypher query language support with Amazon Neptune. Now you can use openCypher with Neptune to build or migrate graph applications to a fast, reliable, and fully managed graph database. You can use the relationships in your data to expand your businesses by building knowledge graphs to link and […]

Amazon Neptune is a graph database service provided by AWS that you can use to build a knowledge graph of relationships among business objects. When building a knowledge graph, what is a suitable model to govern the representation of those relationships? We would prefer not to build our graph on the fly, but rather have […]

This is a guest post written by Roberto García, Associate Professor and Deputy Vice-rector for Research & Transfer at Universitat de Lleida, Spain. In this post, we illustrate how to use the Rhizomer web application to interact with knowledge graphs available as semantic data from an Amazon Neptune instance through its SPARQL endpoint. Neptune is […]

Many AWS customers are looking to solve their business problems by storing and integrating data across a combination of purpose-built databases. The reason for that is purpose-built databases provide innovative ways to build data access patterns that would be challenging or inefficient to solve otherwise. For example, we can model highly connected geospatial data as […]

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. Whether you’re creating a new graph data model and queries, or exploring an existing graph dataset, it can be useful to have an interactive query environment that allows you […]

Amazon Neptune is a fast, reliable, fully managed graph database service that makes it easy to build and run applications with highly connected datasets. You can use Neptune to build fraud detection, entity resolution, product recommendation, and knowledge graph applications. Built on open standards, Neptune enables developers to use three popular open-source graph query languages […]

Customers have asked for a way to interact with graph datasets in Amazon Neptune using business intelligence (BI) tools such as Amazon QuickSight. Although some BI tools offer generic HTTP connectors that allow you to define a set of REST API calls to extract data from REST endpoints, you have to predefine either Gremlin or […]