AWS Database Blog

Category: Amazon Neptune

2019: The year in review for Amazon Neptune

Amazon Neptune celebrated its 18-month birthday last month. It has been a humbling experience to learn the innovative ways customers want to use graph. NBCUniversal is using Amazon Neptune to manage a graph for serving curated, personalized content. Thomson Reuters is using graph to understand complex regulatory models. Netflix has improved data infrastructure reliability by […]

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Analyzing social media feeds using Amazon Neptune

Data generated from various media applications is valuable for organizations to understand customer sentiments and product feedback. It can also be used to recommend new products and services to their customers. This type of data is highly connected and is challenging to ingest and store in a relational database. A relational database does not store […]

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Your guide to Amazon Neptune sessions, workshops, and chalk talks at AWS re:Invent 2019

AWS re:Invent 2019 is less than two weeks away. This post includes a complete list of Amazon Neptune sessions, workshops, and chalk talks at AWS re:Invent 2019. Use the information on this page to help schedule your week in Las Vegas and accelerate your knowledge of Amazon Neptune. Sessions, Workshops, and Chalk Talks ADM203 – Reimagining advertising analytics & identity […]

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Capture graph changes using Neptune Streams

Many graph applications can benefit from the ability to capture changes to items stored in an Amazon Neptune database, at the point in time when such changes occur. Amazon Neptune now supports Neptune Streams, a fully managed feature of Neptune that reliably logs every change to your graph as it happens, in the order that […]

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Amazon Neptune releases Streams, SPARQL federated query for graphs and more

The latest Amazon Neptune release brings together a host of capabilities that enhance developer productivity with graphs. This post summarizes the key features we have rolled out and pointers for more details. Getting started This new engine release will not be automatically applied to your existing cluster. You can choose to upgrade an existing cluster […]

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Using SPARQL explain to understand query execution in Amazon Neptune

Customers continue to want greater visibility and control over the services they use within AWS. When it comes to our database services, customer requests typically revolve around providing greater insights into the query optimization and processing within a given database. Database developers and administrators are mostly already familiar with the idea and use of database […]

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Amazon Neptune now supports TinkerPop 3.4 features

Amazon Neptune now supports the Apache TinkerPop 3.4.1 release. In this post, you will find examples of new features in the Gremlin query and traversal language such as text predicates, changes to valueMap, nested repeat steps, named repeat steps, non-numerical comparisons, and changes to the order step. It is worth pointing out that TinkerPop 3.4 […]

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How LifeOmic’s JupiterOne simplifies security and compliance operations with Amazon Neptune

This is a guest blog post by Erkang Zheng, the CISO at LifeOmic. Most organizations take a linear, list-based approach to security operations. It’s a two-dimensional process. First, identify resources. Second, manage their configurations. Ideally the tools and technologies for management also alert security analysts about changes in the environment and help with remediation. The […]

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Introducing Gremlin query hints for Amazon Neptune

Amazon Neptune is a fast, reliable, fully managed graph database, optimized for storing and querying highly connected data. It is ideal for online applications that rely on navigating and leveraging connections in their data. Amazon Neptune supports W3C RDF graphs that can be queried using the SPARQL query language. It also supports Apache TinkerPop property […]

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Let Me Graph That For You – Part 1 – Air Routes

We’re pleased to announce the start of a multi-part series of posts for Amazon Neptune in which we explore graph application datasets and queries drawn from many different domains and problem spaces. Amazon Neptune is a fast and reliable, fully-managed graph database, optimized for storing and querying highly connected data. It is ideal for online […]

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