Whole Lotta Stream: The Streamhouse Architecture at Fresha

resha started where most companies start: CDC into Snowflake, dbt models, the familiar data stack. As the platform evolved with real-time requirements, operational analytics, and sub-second latency demands, it required a massive redesign, and what emerged was something that looked remarkably like a streaming lakehouse, also known as Streamhouse, built piece by piece out of necessity. Join us for a behind-the-scenes look at Fresha's data platform evolution. Giannis Polyzos, Principal Streaming Architect at Ververica, and Anton Borisov, Principal Data Architect at Fresha, will cover: Why Fresha moved from batch to streaming lakehouse The architectural tradeoffs that hurt (and the ones that paid off) The tools we chose and the reasoning behind them How Apache Fluss fills the critical gaps between streaming and lakehouse systems Practical lessons for teams on the same journey Fresha is the UK's first StarRocks user, and now Apache Fluss is next for them.