Data Architecture Blueprints featuring Zappi
Data Architecture Blueprints is a series that brings together engineers and architects from some of the world's most data-intensive companies to share how they really build. Each episode walks through a real customer story: the stack they started with, the breaking points that forced a change, why they chose ClickHouse, and the architecture running in production today. Expect technical depth, honest tradeoffs, and live Q&A with the people who built it. Every session runs 30 to 45 minutes.
Zappi is a consumer insights platform for ad and product testing. Join Brendon McLean, Chief Technology Officer and Brook Abraha, Data Platform Engineer at Zappi, as they walk through the architecture decisions that got them here:
- Moving from single-survey analysis to meta analysis across their entire data asset, millions of rows spanning thousands of ads.
- Why their previous OLTP SQL stack made large-scale queries impractical and left teams stuck with a project-by-project export pipeline.
- ClickHouse Cloud made the meta-analysis product possible, handling high-dimensional data at scale with query-time flexibility, and now powers both the customer-facing platform and self-serve access for research, data science, and sales.
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