AWS Database Blog

Category: Industries

Model molecular SMILES data with Amazon Neptune and RDKit

Modeling chemical structures can be a complex and tedious process, even with the help of modern programs and technology. The ability to explore chemical structures at the most fundamental level of atoms and the bonds that connect them is an essential process in drug discovery, pharmaceutical research, and chemical engineering. By infusing chemical research with […]

Analyze healthcare FHIR data with Amazon Neptune

In this post we focus on data analysis as part of the modern data strategy. I cover how to generate insights from healthcare FHIR (Fast Healthcare Interoperability Resources) data with Amazon Neptune, a fast, reliable, fully managed graph database service. Using a graph database for this use case allows you to model and navigate complex […]

How Amazon Finance Technologies simplified global payments by creating a payments repository using Amazon DocumentDB

Amazon Finance Technologies (FinTech) Payments systems disburse Accounts Payable (AP) payments to Amazon’s suppliers and service providers. In 2021, FinTech AP systems disbursed millions of payments in over 150 countries and in more than 50 currencies through various payment options. In this post, we show you how we built an extensible payments metadata repository solution […]

Store and stream sports data feeds using Amazon DynamoDB and Amazon Kinesis Data Streams

August 30, 2023: Amazon Kinesis Data Analytics has been renamed to Amazon Managed Service for Apache Flink. Read the announcement in the AWS News Blog and learn more. Online bookmakers are innovating to offer their clients continuously updated sports data feeds that allow betting throughout the duration of matches. In this post, we walk through […]

Vehicle routing optimization with Amazon Aurora PostgreSQL-Compatible Edition

Vehicle route planning with the goals of meeting customer satisfaction expectations, reducing fuel consumption, and reducing emissions can be challenging. The vehicle routing problem (VRP) goal is to find optimal routes for multiple vehicles visiting multiple locations to fulfill business-specific constraints such as cost and time. The VRP has various use cases in industries such […]

Learn how Dream11, the World’s largest fantasy sports platform, scale their social network with Amazon Neptune and Amazon ElastiCache

This is a guest post co-written by Bharat Kumar, Graph Databases Lead at Dream11. Dream11, the flagship brand of Dream Sports, is the world’s largest fantasy sports platform, with more than 100 million users. We have infused the latest technologies of analytics, machine learning, social networks, and media technologies to enhance user experience. Dream11 is […]

Cox Automotive scales digital personalization using an identity graph powered by Amazon Neptune

Neptune is a fully managed graph database service that makes it easy to build and run applications using highly connected datasets. Neptune is a purpose-built, high-performance graph database engine optimized for storing billions of relationships and querying the graph with milliseconds latency. Neptune supports both the Property Graph and the Resource Description Framework (RDF) standard.