Cloud

Quick start

How onboarding will take you from sign-up to a live hypequery cloud endpoint, once cloud launches.

hypequery cloud is not live yet

You can't sign up for or deploy to cloud today. These pages describe the planned service, and details will change before launch. What runs today is the open-source TypeScript and Python SDKs, in your own backend.

Cloud isn't open for sign-up yet. When it launches, onboarding will walk you through these steps.

  1. Sign in with Google or an email link, and create your organisation.
  2. Create a project. Each project starts with a protected production environment.
  3. Connect ClickHouse. Enter the database your datasets will query. Cloud tests the connection before saving it, and stores the credentials encrypted. See ClickHouse users for the read-only user Cloud expects.
  4. Choose a starting point. Create a starter model, or publish datasets from an existing project.
  5. Deploy. Run the CLI commands onboarding shows you, or set up deployment from CI with GitHub Actions. Onboarding waits for the first release and confirms when it is live.

Once a release is live:

How it works

How dataset definitions become a hosted hypequery cloud release.

Deploy from TypeScript

Publish TypeScript datasets to hypequery cloud with publishToCloud and hypequery deploy.

Get early access to hypequery cloud.

Cloud hosts the same model you run in your backend, with a managed API and MCP server, versions, and rollback. We're letting teams in a few at a time. Join the waitlist and we'll reach out when your project can go live.

How do you want to build your analytics layer? (Optional)
What features do you most need? (Optional)

Pick as many as you like.

Only your email is required. All other questions are optional.