hypequery vs @clickhouse/client: What You Actually Gain
The official ClickHouse JavaScript client is solid, but it stops at connections and raw queries. Here's what hypequery adds for TypeScript analytics teams.
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hypequery vs Kysely: Two Different Bets on Type Safety
Kysely is an excellent TypeScript query builder. On ClickHouse, the tradeoffs change. Here's where hypequery fits and what each tool optimizes for.
The Analytics Language Layer: Why Real-Time Data Needs Typed APIs, Not Just Faster Databases
We've made our databases real-time. We haven't made our analytics interfaces real-time-safe. The missing abstraction between ClickHouse and your consumers — human or machine — is a typed, programmable analytics language layer.
The ClickHouse TypeScript Type Problem (And How to Actually Fix It)
ClickHouse and TypeScript often disagree about what types come back at runtime. Learn the real mappings for DateTime, UInt64, Nullable, Decimal, and more.
Turn Your ClickHouse Schema Into a Type-Safe Analytics Layer in 5 Minutes
Go from raw SQL strings to a fully typed SDK + HTTP API + React hooks in about 5 minutes. Learn how to auto-generate TypeScript types from your ClickHouse schema and never worry about schema drift again.
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 & Evolution in ClickHouse: Keeping Analytics in Sync
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.
Building Dashboards on ClickHouse with hypequery and Next.js
Learn 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.
Type-Safe SQL in TypeScript: Why Your Current Approach is Failing You (And What to Do About It)
Developer 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.