Case Study: treefin achieves faster time-to-market and scalable finance optimization with DataStax Enterprise

treefin Helps Users Optimize Their Finances with DataStax Enterprise

treefin is a personal finance app that gives users an integrated view of banking, investments and insurance and helps optimize their financial portfolios. Faced with large volumes of time-series data (account transactions, user events) and the need to scale quickly without building a custom storage and analytics stack, treefin sought a production-ready, scalable platform that would accelerate time to market.

They adopted DataStax Enterprise—using Cassandra for storage, Spark for analytics and OpsCenter for operations—choosing DSE over open-source Cassandra for its integrated Spark support and vendor backing. The solution provided a scalable, end-to-end data platform, shortened time to market, and enabled treefin to move forward with analytics and machine-learning initiatives.

treefin

Killian Koller

Chief Technology Officer & Co-Founder