Case Study: Vimeo achieves faster, more reliable video analytics with ClickHouse

How ClickHouse helps Vimeo power video analytics at scale

Vimeo, a digital video platform serving millions of creators and businesses, needed a faster, more reliable way to power analytics across more than a billion videos and 20 billion micro-events per day. Its legacy Apache HBase and Apache Phoenix-based infrastructure struggled with slow queries, frequent outages, and rising costs as data volumes and concurrency demands grew.

Vimeo adopted ClickHouse after evaluating several databases and testing a proof of concept on 25% of its data. With ClickHouse’s columnar storage and MergeTree engines, Vimeo improved query performance by 10x, cut storage needs by 3 to 5 times, and required 4x fewer servers while gaining much better stability and lower costs.

Vimeo

Zeev Feldbeine

Principal Data Engineer