Case Study: a financial services company achieves real-time analytics with Streamkap

a financial services company streams MySQL to Iceberg in under a second with Streamkap

The financial services company faced a challenge with traditional batch ETL processes, which created delays of hours or days between business events and actionable insights. This lag meant missed opportunities and slow responses to live market changes, directly impacting profitability. They partnered with Streamkap to implement a solution for real-time data streaming.

Streamkap implemented a solution to continuously stream data from the company's AWS MySQL database to Iceberg tables on S3. This eliminated the lag inherent in batch processes, providing a robust and scalable lakehouse foundation with ACID transactions. The result was instantaneous analytical capabilities, allowing the financial services company to dynamically adjust investments based on live market changes, thereby improving its competitive advantage.

Financial Services Company