Case Study: Fever achieves reliable real-time partner reporting under load with Tinybird

Fever reduces partner reporting latency from 2 minutes to under 3 seconds with Tinybird

Fever, a leading global live-entertainment discovery platform, faced significant challenges with its real-time partner reporting system. During peak event sales, their previous infrastructure, which used ClickHouse Cloud with CDC via Kafka, suffered from severe latency spikes and was extremely fragile. A single bad data record could halt the entire ingestion pipeline, making schema changes a terrifying process and turning the data platform team into a bottleneck.

By implementing Tinybird, Fever gained a managed Kafka ingestion service that scales automatically under load and a built-in API layer. This solution eliminated latency degradation during peak sales, isolated bad records instead of killing the pipeline, and enabled a PR-based workflow for schema changes. As a result, Fever's reporting is now reliably real-time, partner trust has increased, and the team is unlocked to build self-service and federated data capabilities for the future.

Fever