Turn Your ClickHouse Schema Into a Type-Safe Analytics Layer in 5 Minutes
Generate schema types from ClickHouse, define one typed query, and use it as the base for backend code, HTTP delivery, and React consumption.
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ClickHouse and TypeScript implementation guides
Deep dives, architecture notes, and product guidance from the hypequery team.
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Steal the exact query patterns, cache plays, and architecture shortcuts behind sub-second analytics. 5 minute read, every Friday.
A Guide to Materialized Views in ClickHouse
Production patterns, performance pitfalls, and when to use something else. Learn how ClickHouse materialized views really work, how to choose the right engine, and when alternative patterns like projections make more sense.
Seven Companies, One Pattern: Why Every Scaled ClickHouse Deployment Looks the Same
Uber, Cloudflare, Instacart, GitLab, Lyft, Microsoft, and Contentsquare independently built near identical abstraction layers on top of ClickHouse. The shared architecture isn't coincidence, it is forced by the economics of making high performance schemas accessible at organisational scale.
Type-Safe Schema Management and Evolution in ClickHouse
Schema drift is where many ClickHouse TypeScript codebases start to break. This post focuses on generated schema types and workflows that keep query code aligned with the live database.
Building Dashboards on ClickHouse with hypequery and Next.js
A practical Next.js dashboard walkthrough: schema generation, shared backend queries, and a React consumption path that does not duplicate analytics logic.
Type-Safe SQL in TypeScript: Why Your Current Approach Is Failing You
Raw SQL plus hand-written row types leaves a blind spot in TypeScript applications. This post explains where that breaks down and what a safer query workflow looks like.
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