Case Study: Heetch achieves elastic, cost-efficient AI at scale with Dataiku

Heetch + Dataiku Developing an Elastic AI Strategy

Heetch, a French mobility startup founded in 2013 with about 250 employees, faced spiraling data warehouse costs and slowing performance as its data volumes grew. In 2019 the company chose Dataiku as its single platform for building data pipelines and processing raw data (paired with Looker for visualization) and turned to Kubernetes/AWS EKS to scale compute without losing control of costs.

Dataiku integrated with Heetch’s EKS cluster so teams could offload heavy Python, R, and Spark jobs, while Dataiku’s abstraction made distributed computing accessible to non-experts; Heetch also introduced CPU-vore and Memory-vore clusters to optimize resource consumption. The result: reduced bottlenecks and costs, faster time-to-market, improved collaboration and AI maturity, hundreds of data projects launched and more than 100 projects running in production—delivering a clearer ROI for Heetch thanks to Dataiku.

Heetch