Case Study: Rakuten Card doubles processing speed and modernizes data architecture with Cloudera

Rakuten Card Modernizes Data Architecture with Cloudera

Rakuten Card, a leading Japanese credit card issuer with about 14 million members, faced rapidly growing membership and transaction volumes that strained its legacy mainframe. The company needed faster, more scalable processing for its mission‑critical systems and to support advanced analytics, machine learning and real‑time use cases.

Rakuten Card migrated to Cloudera Enterprise (powered by Apache Spark) and used Cloudera Manager plus vendor engineering support to modernize operations. The new platform more than doubled processing speed, delivered higher stability, reduced maintenance overhead, and enabled real‑time analytics, predictive modeling and ML—freeing the team to focus on strategic growth while meeting implementation deadlines.

Rakuten Card

Yosuke Nakagawa

Vice Department Manager of the System Development Department