Case Study: Cloud Academy speeds up data modeling 5x with Cube Dev

How Cloud Academy sped up data modeling by 5x and decreased analytics downtime by 90%

Cloud Academy, a San Francisco-based EdTech SaaS company, needed a modern analytics platform to improve its enterprise embedded analytics offering. The team wanted seamless, highly available analytics with CI/CD-friendly deployments, strong security context orchestration, flexible data modeling, and compatibility with its existing AWS Redshift data warehouse. To meet these needs, Cloud Academy turned to Cube Dev and its Cube Cloud platform.

Using Cube Dev’s Cube Cloud, Cloud Academy implemented flexible data modeling, managed pre-aggregations through Cube Store, Git-integrated zero-downtime deployments, RBAC-based security controls, and SQL API support. The result was a 5x faster release cycle for new data models and 90% less analytics downtime, while also improving response times for complex models and giving the team a more reliable, scalable embedded analytics stack.

Cloud Academy

Alessandro Lollo

Senior Data Engineer