Elevating Kafka: Driving operational excellence with Albertsons + Forrester | Watch Webinar

Streaming Data Empowers RBC to be Data Driven

Confluent Platform과 경쟁할 수 있는 제품은 없습니다. 데이터를 이벤트로 스트리밍하면 규모에 맞게 문제를 해결하는 완전히 새로운 방법을 실현할 수 있습니다.

Mike Krolnick | 엔터프라이즈 클라우드 부문 엔지니어링 수석


Improve the customer experience through data while staying compliant with industry regulations


Implemented Confluent Platform to stream data in real time, migrate to an event-based architecture and embark on a microservices transformation


  • Higher quality, faster and scalable customer services
  • Increased efficiency in application building
  • Lowered anomaly detection time from weeks to seconds
  • Implemented data reuse across teams for relevant business insights
  • Greatly reduced costs

As Canada’s biggest bank, and one of the largest in the world based on market capitalization, RBC has a diversified business model with a focus on innovation and providing exceptional experiences to their 16 million clients in Canada, the U.S. and 35 other countries. To continue the bank’s mission of providing world-class products and services to its clients, RBC’s Data and Analytics (DNA) and Enterprise Cloud teams joined forces to build a real-time, scalable and event-driven data architecture for the bank’s growing number of cloud, machine learning and AI initiatives.

To deliver the event-based architecture for RBC’s business lines, the DNA and Cloud team selected Confluent Platform and Apache Kafka® to be the foundation of their scalable, real-time streaming data architecture. RBC now has a cross-functional team helping transform the bank to a technology and data-driven organization.

더 많은 고객 사례


Recursion은 Confluent Cloud 기반의 새로운 데이터 파이프라인을 통해 신약 개발을 가속화합니다.

Ricardo Logo

스위스에서 가장 큰 온라인 마켓플레이스인 Ricardo는 대규모 IT 이니셔티브를 처리하고 제시간에 완료하는 데 익숙합니다.


Risk Focus는 상위 20개 글로벌 은행에서 주문 관리 플랫폼을 제공합니다.