As much as we say Apache Doris is an all-in-one data platform that is capable of various analytics workloads, it is always compelling to demonstrate that by real use cases. That's why I would like to share this user story with you. It is about how they leverage the capabilities of Apache Doris in reporting, customer tagging, and data lake analytics and achieve high performance.
This fintech service provider is a long-term user of Apache Doris. They have almost 10 clusters for production, hundreds of Doris backend nodes, and thousands of CPU Cores. The total data size is near 1 PB. Every day, they have hundreds of workflows running simultaneously, receive almost 10 billion new data records, and respond to millions of data queries.