Category: Amazon Neptune

In this post, we walk through how Gremlinq works, demonstrate its capabilities, show you how to set up a Neptune project with the provided templates, and help you understand where this approach might fit in your development context.

This post addresses recovery challenges in multi-database architectures, focusing on both low-consistency and mission-critical scenarios. We explore practical strategies for implementing resilient recovery mechanisms across Amazon DynamoDB, Amazon Aurora, Amazon Neptune, Amazon OpenSearch Service, and other AWS database services.

In this post, we show how you can use graph algorithms to analyze the results of AWS Entity Resolution and related transactions for the CNP use case. We use several AWS services, including Neptune Analytics, AWS Entity Resolution, Amazon SageMaker notebooks, and Amazon S3.

In this post, we show you how to validate Neo4j Cypher queries before migrating to Neptune using the openCypher Compatibility Checker tool. You can use this tool to identify compatibility issues early in your migration process, reducing migration time and effort.

In this post, we walk you through two methods to automate your Neo4j database to Neptune using the neo4j-to-neptune utility. This tool offers a fully automated end-to-end process in addition to a step-by-step manual process.

This is a guest blog by Arthur Bigeard, Founder at gdotv, in partnership with Charles Ivie, Sr Graph Architect at AWS. G.V() is a graph database IDE available for Desktop or on AWS Marketplace, offering extensive graph visualization and querying capabilities for Amazon Neptune and Neptune Analytics. In Part 1 of this series, we demonstrated […]

This is a guest blog post by Richard Loveday, Head of Product at Graph.Build, in partnership with Charles Ivie, Graph Architect at AWS. The Graph.Build platform is a dedicated, no-code graph model design studio and build factory, available on AWS Marketplace. Knowledge graphs have been widely adopted by organizations, powering use cases such as social […]

Smartsheet is a leading SaaS-based collaborative work management platform trusted by enterprises worldwide to manage projects, automate workflows, and drive collaboration at scale. In this post, we describe the Smartsheet Knowledge Graph, built in partnership between Smartsheet and AWS. The Smartsheet Knowledge Graph is a unified data model connecting people, content, and work in Smartsheet, representing how users interact with assets, content, and their collaborators.

Developing applications on Amazon Neptune Database historically required users setup access into the VPC where it is hosted and use either 3rd party drivers or direct HTTP requests. In this post, we discuss how two key features, public endpoints and the Neptune Data API, solve these common challenges in Amazon Neptune application development. Public endpoints […]

Amazon Neptune version 1.4.5 introduces engine improvements and support for AWS Graviton-based r8g instances. In this post, we show you how these updates can improve your graph database performance and reduce costs. We walk you through the benchmark results for Gremlin and openCypher comparing Neptune v1.4.5 on r8g instances against previous versions. You’ll see performance improvements of up to 4.7x for write throughput and 3.7x for read throughput, along with the cost implications.