Case Study: a Big Three credit rating company achieves faster, more reliable analytical data delivery with Expert Soft

Big Three Credit Rating Company processes hundreds of millions of records in one hour with Expert Soft

Expert Soft was engaged by a big three credit rating company to solve a challenge with its analytical data portal. The client needed to enable users to seamlessly search and filter large volumes of index-related data, but its existing system struggled with frequent, high-volume updates from its source Postgres database. The challenge was to create a dedicated serving layer that kept data synchronized and ready for use without relying on slow, scheduled batch jobs.

Expert Soft designed and implemented a custom Kafka-based data pipeline to replace the scheduled ETL process. The solution used enriched Kafka messages to transform and synchronize data into MongoDB, with Redis caching metadata for faster filtering. This architecture processes hundreds of millions of records within approximately one hour, providing predictable data availability, more reliable analytical data, and a cleaner user experience. The stable pipeline significantly reduced operational complexity for the client.