Home icon

How Amazon Finance Automation built an operational data store with AWS purpose built databases to power critical finance applications

Database Blog

Amazon Finance Automation built an operational data store using multiple AWS purpose-built databases to support critical financial applications, addressing complex data management requirements.

  • Used Amazon DynamoDB as primary datastore for flexible schema and low-latency transactions
  • Leveraged Amazon OpenSearch Service for search-as-you-type and data aggregation capabilities
  • Utilized Amazon Neptune to track and query complex account relationships
  • Implemented serverless architecture with AWS Lambda and SQS for event processing
  • Enabled data reconciliation and export using DynamoDB native S3 export features

The solution provides a scalable, reliable operational data store that meets unique finance requirements by combining purpose-built databases with serverless technologies.

Go to article

The AWS News Feed is currently looking for gold sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.

Related articles

May 20
2025
Empower financial analytics by creating structured knowledge bases using Amazon Bedrock and Amazon Redshift
Aug 28
2025
How Amazon Finance built an AI assistant using Amazon Bedrock and Amazon Kendra to support analysts for data discovery and business insights
Sep 13
2024
How CFM built a well-governed and scalable data-engineering platform using Amazon EMR for financial features generation
Jul 2
2024
How The New York Stock Exchange built its real-time market data platform on AWS

The AWS News Feed is currently looking for silver sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.