Case Study: Vimeo achieves real-time, billions-scale streaming analytics and customer insights with Snowflake

How Vimeo Leverages Billions of Streaming Events to Generate Customer Insights with Snowflake

Vimeo, the video SaaS platform used by more than 200 million people, struggled to keep up with billions of streaming events per day on a legacy on‑premises stack. Frequent outages, heavy maintenance, and siloed knowledge limited the BI team’s ability to produce timely, 360° customer insights, and rising analytic demand (including two acquisitions) made scaling compute and storage costly and slow.

Vimeo moved its analytics to Snowflake’s multi‑cluster shared data architecture, using Streams and Tasks, Snowpipe, the Kafka connector and S3 bulk loads to build near‑real‑time CDC pipelines and connect BI tools and enrichment partners. The switch delivered near‑zero maintenance and reliable uptime, accelerated reporting and marketing campaigns, enabled upsell campaigns that generated millions in revenue, reduced acquisition costs through better ad targeting, and freed engineering capacity while supporting a 4x growth of the BI team.

Vimeo

Nate Christian

Senior Director, Digital Business Analytics