Case Study: Yonder achieves 4x faster time to market with Zepl

Yonder - Customer Case Study

Yonder, a fast-growing analytics company that helps organizations understand online narratives and cultural context, had outgrown its old notebook workflow. Their data scientists were using Jupyter notebooks on individual machines and sharing them through GitHub with embedded Snowflake credentials, while attempts to standardize with JupyterHub still left the team with slow feedback loops, heavy maintenance, and infrastructure headaches.

Zepl provided a SaaS data platform that works natively with Snowflake, letting Yonder run notebooks in isolated cloud containers, prototype in real time, and manage credentials more securely through user-level keychain controls. With Zepl, Yonder reported 4x faster time to market, 4x faster research cycles, and identified $75k in annual savings within the first month by reducing maintenance overhead and downtime.

Yonder

Chip Young

Chief Data Architect