Case Study: S&P Dow Jones Indices improves database performance with Amazon Web Services

S&P Dow Jones Indices Improves Database Performance After Modernizing Its Database Environment Using Amazon Aurora

S&P Dow Jones Indices faced growing demand for near real-time index data and web services, making database performance and reduced maintenance a priority as it modernized its hybrid environment with Amazon Web Services. After moving many databases and its application stack to the cloud, the company looked to further improve performance and scalability using Amazon Aurora and related AWS database tools.

Amazon Web Services helped S&P Dow Jones Indices migrate MySQL and PostgreSQL workloads to Amazon Aurora, using AWS Database Migration Service and AWS Schema Conversion Tool to simplify the move and reduce downtime. The company cut migration time to 10 hours, improved global availability with Aurora Global Database, and gained instant scaling for machine learning workloads with Aurora Serverless, while also reducing database administration overhead.

S&P Dow Jones Indices

Shivakumar Bangalore

Senior Director of Database Engineering