A company needs to run graph queries that return customers’ names, addresses, and transactions, and analyze relationships to flag possible fraud. Which AWS database service is appropriate for this use case?

Amazon Neptune is a fully managed graph database service. It is specifically designed to store and query highly connected data, making it ideal for analyzing relationships between entities like customers and their transactions to detect patterns indicative of fraud. Amazon DocumentDB is a document database, suitable for semi-structured data but not optimized for graph queries. Amazon Timestream is a time-series database, best for data that changes over time, like sensor data. Amazon DynamoDB is a key-value and document database, excellent for high-performance applications but lacks native graph query capabilities.