Wise was able to serve tens of millions of customers across the world and move around £27B
Data Streaming Technology Used:
What problem were they looking to solve with Data Streaming Technology?
Wise's challenge to process large amounts of financial data in real-time and make it available across their organization in a secure and scalable way was a critical issue for their business. This data includes transactions, balances, and other financial information from millions of customers around the world. The failure to address this problem could have resulted in significant financial losses, damage to customer trust and reputation, and legal and regulatory consequences.
How did they solve the problem?
The stream processing platform implemented by Wise is a distributed and scalable system designed to handle large amounts of streaming data in real-time. The platform utilizes Kafka Streams and Flink-based engines, which allow for efficient processing of data streams and real-time aggregations, data replication, and enrichments.
The platform is designed to be self-service (Wise's teams can access and use the platform without extensive technical knowledge).
What was the positive outcome?
The stream processing platform implemented by Wise benefits customers by providing faster, more efficient, and more secure money transfers. This ensures that customers can send and receive money quickly and securely, without having to wait for long periods of time for the transfers to be processed.
Wise was able to serve tens of millions of customers across the world and move around £27 billion in a single quarter.