Case Study: Replacing Exadata with SingleStore to Power Portfolio Analytics and Machine Learning

This case study highlights a major financial services company's successful replacement of Oracle Exadata with SingleStore to power portfolio analytics, resulting in significantly improved responsiveness and the ability to easily incorporate machine learning models into their applications. The company replaced its legacy database technologies with a combination of Kafka, Spark, and SingleStore, enabling them to achieve real-time data processing, reduce costs by 3x, and improve performance. This new architecture allows for continuous development and evolution of machine learning algorithms, making the organization more agile and better equipped to handle changing market conditions.