Case Study: Ualá achieves faster processing and up to 50% cost reduction with Google Cloud

Ualá accelerates the adoption of a data-driven culture with the help of Google Cloud

Ualá, the financial technology company, was looking to deepen its data-driven culture and migrate its systems to the cloud to improve agility, security, and scalability. It turned to Looker/Google Cloud tools, including BigQuery, to support this transformation and manage growing data demands.

Looker helped Ualá implement a new cloud architecture with services such as BigQuery, Cloud Composer, Cloud Storage, and Google Kubernetes Engine, enabling faster development and easier scaling. The company launched its first production environment in just three months, reduced processing times and optimized costs by up to 50%, and gained the foundation for new analytics and business models.

Ualá

Rodrigo Marini

Data Engineering Manager