AWS Database Blog

Category: Amazon Neptune

Create a Virtual Knowledge Graph with Amazon Neptune and an Amazon S3 data lake

It’s common in an enterprise for data that logically fits together to be separated into different databases. Some data is better suited for one storage than another, and it may not be feasible to locate all your data in one data store. But this data often needs to be linked back together to provide a […]

Visualize and explore knowledge graphs quickly by connecting metaphactory to Amazon Neptune

Knowledge graphs consolidate and integrate an organization’s information assets and make them more readily available to all members of the organization. There are many applications and use cases that are enabled by knowledge graphs. Graphs are a natural way to model and represent information about the world. This idea is not new, but has now […]

Build a mortgage-backed securities data model using Amazon Neptune

As organizations adopt modern application architectures such as microservices, application teams tend to retrofit one-size-fits-all databases. The mortgage industry is going through unprecedented transformation due to changing generation technologies such as API adoption. In the mortgage industry, API-enabled software allows lenders, issuers, borrowers, and more to integrate different functionalities into their portal, meaning they bring […]

Diagram-as-code using generative AI to build a data model for Amazon Neptune

To be successful with a graph database—such as Amazon Neptune, a managed graph database service—you need a graph data model that captures the data you need and can answer your questions efficiently. Building that model is an iterative process. The earliest stage of the process, in which you are merely getting initial elements on paper […]

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 […]

Implement Time to Live in Amazon Neptune, Part 1: Property Graph

Time to Live (TTL) is a mechanism that helps determine the longevity or lifespan of data, files, infrastructure, or even entire environments. When working with data, it could represent the amount of time a leaderboard expires in memory before being reloaded from storage, or how long a file must be kept for regulatory or compliance […]

Improve availability of Amazon Neptune during engine upgrade using blue/green deployment

Amazon Neptune is a fully managed graph database service built for the cloud that makes it easier to build and run graph applications that work with highly connected datasets. Neptune provides built-in security, continuous backups, serverless compute, and integrations with other AWS services. Neptune supports in-place upgrades of cluster and database instances. Upgrade of a Neptune cluster can be done either manually or automatically (during the database maintenance window).

Exploring the feature packed release for Amazon Neptune

In this post, we describe all the features that have been released as part of the recent engine update to Amazon Neptune. Amazon Neptune is a fast, reliable, and fully managed graph database service for building and running applications with highly connected datasets, such as knowledge graphs, fraud graphs, identity graphs, and security graphs. […]

Design a use case-driven, highly scalable multimodel database solution using Amazon Neptune

If you’re an architect tasked with designing a solution with complex data requirements, you may decide to adopt a multimodel approach, combining multiple data models, possibly spanning multiple database technologies. For each model, you choose the best technology for the purpose at hand. AWS offers 15+ purpose-built engines to support diverse data models, including relational, […]

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 […]