Use Cases
ClickHouse analytics use cases for product APIs and SaaS
These are the two adoption paths that show up most often: teams layering analytics into an existing backend, and teams shipping customer-facing analytics with tenant boundaries that need to hold up in production.
Adoption path
Incremental
Source of truth
Typed queries
Runtime model
In-process or HTTP
Use Cases
Start with the path closest to the codebase you already have
Internal Product APIs
Add analytics to existing product endpoints
Keep your route contracts stable and compose analytics directly inside business handlers.
- No forced service split
- Reuse query definitions in-process and over HTTP
- Roll out incrementally by endpoint
Open use case
Multi-tenant SaaS
Ship tenant-aware analytics APIs by default
Resolve auth context once, inject tenant filters automatically, and enforce role checks in query definitions.
- Tenant isolation without custom middleware sprawl
- Role checks live next to query logic
- Scales from early-stage to enterprise tenancy models
Open use case
Step 01
Pick one repeated query
Start with analytics logic that already appears in more than one place in your codebase.
Step 02
Put it on a shared path
Either call it in-process from the backend you already run or expose it under a controlled internal API path.
Step 03
Expand only after it proves useful
Let more consumers depend on the same definition instead of minting new one-off query copies.
Next step
Start with the use case closest to your current architecture
Do not start by adopting everything at once. Pick the path that matches your existing backend shape and replace one real query first.