Whole Lotta Stream: The Streamhouse Architecture at Fresha

Fresha 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.