Insights
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.
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.
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.
Learn how to solve schema evolution challenges in ClickHouse with automated type generation, compile-time safety, and best practices for keeping your analytics applications resilient as your data grows.
Read moreLearn how to build type-safe, real-time analytics dashboards using hypequery, ClickHouse, and Next.js. Get complete type safety, autocomplete, and developer productivity for your analytics applications.
Read moreDeveloper productivity suffers when SQL queries break at runtime instead of compile time. Type-safe SQL in TypeScript isn't just a nice-to-have, it's essential for building reliable applications. This guide explores why traditional approaches fall short and shows you how modern solutions like hypequery can transform your development workflow.
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