AWS Partner Network (APN) Blog

Tag: Neo4j

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Say Hello to 165 AWS Specialization Partners Added or Returning in January

We are excited to highlight 165 AWS Partners that received new or renewed specializations in January for our global AWS Competency, AWS Managed Service Provider (MSP), AWS Service Delivery, and AWS Service Ready programs. These designations span workload, solution, and industry, and help AWS customers identify top AWS Partners that can deliver on core business objectives. AWS Partners are focused on your success, helping customers take full advantage of the business benefits AWS has to offer.

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Leveraging Neo4j and Amazon Bedrock for an Explainable, Secure, and Connected Generative AI Solution

Neo4j is a graph data platform that, together with Amazon Bedrock, offers a compelling value add to any enterprise. Learn about the knowledge retrieval and extraction processes and review a couple of retrieval augmented generation (RAG) application architectures. Using Amazon Bedrock and Neo4j, you can simplify the knowledge extraction process which can be more complex and manual using traditional NLP libraries.

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Give Your Graph Workload a Cost-Performance Boost with Neo4j and AWS Graviton

AWS Graviton processors are designed to deliver the best price performance for your cloud workloads running in Amazon EC2 and the most cost-effective and performant choice for graph database workloads running Neo4j. Tests have shown that deploying Neo4j with AWS Graviton-based instances results in cost savings of up to 15% as well as a boost for write performance of up to 146% over equivalent Intel-based instances.

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Say Hello to 182 AWS MSP, Service Ready, Service Delivery, and Competency Partners Added or Renewed in June

We are excited to highlight 182 AWS Partners that received new or renewed designations in May for our global AWS Competency, AWS Managed Service Provider (MSP), AWS Service Delivery, and AWS Service Ready programs. These designations span workload, solution, and industry, and help AWS customers identify top AWS Partners that can deliver on core business objectives. AWS Partners are focused on your success, helping customers take full advantage of the business benefits AWS has to offer.

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When to Use a Graph Database Like Neo4j on AWS

Graph databases are useful for solving problems related to connected data, and represent data as nodes and enable organizations to uncover relationships between data that’s not possible with other approaches. Experts from AWS and Neo4j explore four types of databases and the most common applications for each: relational, document, in-memory, and graph. We’ll cover how different industries use graph databases and how they work as part of an AWS architecture.

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Say Hello to 143 AWS Competency, Service Delivery, Service Ready, and MSP Partners Added or Renewed in March

We are excited to highlight 143 AWS Partners that received new or renewed designations in March for our global AWS Competency, AWS Managed Service Provider (MSP), AWS Service Delivery, and AWS Service Ready programs. These designations span workload, solution, and industry, and help AWS customers identify top AWS Partners that can deliver on core business objectives. AWS Partners are focused on your success, helping customers take full advantage of the business benefits AWS has to offer.

Create Dynamic Serverless Applications with Neo4j Graph Database and AWS Lambda

The AWS Cloud Development Kit (AWS CDK) is a framework that provides an automated and repeatable way of handling cloud infrastructure. Learn how to use the AWS CDK to build an AWS Lambda function in Java that connects to Neo4j. The framework described here can be used to build dynamic serverless applications where the frontend scales based on system demand. This makes it possible to easily get value from your connected graph data in front end applications.

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Graph Feature Engineering with Neo4j and Amazon SageMaker

Featurization is one of the most difficult problems in machine learning. Learn how graph features engineered in Neo4j can be used in a supervised learning model trained with Amazon SageMaker. These novel graph features can improve model performance beyond what’s possible with more traditional approaches. Together, these components offer a graph platform that can be used to understand graph data and operationalize graph use cases.

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Say Hello to 112 New AWS Competency, Service Delivery, Service Ready, and MSP Partners Added in September

We are excited to highlight 112 AWS Partners that received new designations in September for our global AWS Competency, AWS Managed Service Provider (MSP), AWS Service Delivery, and AWS Service Ready programs. These designations span workload, solution, and industry, and help AWS customers identify top AWS Partners that can deliver on core business objectives. AWS Partners are focused on your success, helping customers take full advantage of the business benefits AWS has to offer.