Tinybird Alternative
Looking for a Tinybird alternative?
Tinybird's pitch is real: point data at their ClickHouse, write SQL Pipes, get APIs. What sends teams looking elsewhere is usually one of three things — the data has to live in their platform, the bill grows with your traffic, or nothing in the workflow speaks TypeScript. hypequery plus your own ClickHouse fixes all three.
Data location
Stays in your ClickHouse
Pricing
Free and open source
Types
Generated from live schema
Your data has to live in their platform
Using Tinybird means ingesting your data into Tinybird-managed ClickHouse. If you have residency requirements, compliance controls, or just a strong preference for owning your analytics data, the conversation ends there.
The pricing grows with your success
Tinybird bills on data processed and API calls. User-facing analytics with real traffic is exactly the workload where that gets expensive compared to running the same queries on your own ClickHouse or ClickHouse Cloud.
SQL Pipes, not TypeScript contracts
Pipes are SQL in Tinybird’s workflow, and your app consumes the endpoints as untyped HTTP. Nothing generates TypeScript types from your schema, so every consumer ends up hand-maintaining its own interfaces.
The alternative
Bring the API layer to your data, not your data to a platform
hypequery assumes you run ClickHouse — self-hosted or ClickHouse Cloud — and gives you the layer Tinybird sells: queries exposed as validated HTTP endpoints, except typed end-to-end and living in your own repository.
- Keep data in your own ClickHouse — nothing is ingested into a third-party platform
- Generate TypeScript types from your live schema, including ClickHouse-specific runtime mappings
- Define queries as code, reviewed and versioned like the rest of your application
- Serve them as REST endpoints with input validation and OpenAPI docs via @hypequery/serve
- No per-query or per-GB pricing — the whole stack is open source
Step 1
Generate types from the ClickHouse you already run
ClickHouse Cloud plus hypequery is the closest like-for-like Tinybird replacement: managed database, code-owned API layer, data in your own account.
Step 2
Pipes become typed endpoints in your repo
Each query definition becomes an HTTP endpoint with validated inputs and a typed response shape — the same publish-a-query workflow, without the platform in the middle.
The honest tradeoff: Tinybird bundles managed ingestion, caching, token-based rate limiting, and zero ops. With hypequery you own the ClickHouse instance, and auth and caching come from your existing API stack rather than a platform.
If you already run ClickHouse — or are happy letting ClickHouse Cloud run it — that trade usually lands on the side of owning the layer. No data movement, no lock-in on the data model, and compile-time types the whole way down.
Step 2
Serve typed endpoints from query definitions
One serve() call turns query definitions into endpoints with OpenAPI documentation — consumed by your frontend through generated types instead of hand-written interfaces.
Side by side
Tinybird vs hypequery + your own ClickHouse
The closest like-for-like swap is ClickHouse Cloud for the database and hypequery for the API layer: the database stays managed, but the queries, types, and endpoints move into your repo.
| Tinybird | hypequery | |
|---|---|---|
| Where data lives | Ingested into Tinybird’s managed ClickHouse | Stays in your ClickHouse — self-hosted or Cloud |
| Query definitions | SQL Pipes in Tinybird’s workflow | TypeScript in your repo, reviewed like any other code |
| TypeScript types | Hand-maintained interfaces over HTTP responses | Generated from your live schema |
| Auth and rate limiting | Built in, token-based | Your existing API stack |
| Caching | Built in | Bring your own, or ClickHouse materialized views |
| Ops burden | Zero — fully managed | You run ClickHouse, or ClickHouse Cloud does |
| Pricing | Data processed plus API calls | Free and open source — you pay for your infra |
| Leaving later | Schema, Pipes, and ingestion live in the platform | Plain code and your own database — nothing to migrate off |
Zero ops is genuinely worth money to some teams. If nobody on your side wants to think about a database, Tinybird is a fine answer and this table won’t change that.
Where teams usually get stuck
The questions this page should answer
Open source Tinybird alternative
hypequery is open source and free. Pair it with self-hosted ClickHouse for a fully open stack, or with ClickHouse Cloud if you want the database managed but the API layer owned.
Tinybird alternative without data ingestion
hypequery connects to the ClickHouse you already have. No ingestion step, no sync pipeline, no second copy of your data living in a vendor’s platform.
Tinybird pricing concerns at scale
With hypequery the cost model is just your ClickHouse infrastructure. API calls are your own endpoints on your own compute — no per-request or per-GB-processed billing.
When Tinybird is still the right answer
No ops capacity, SQL-first team, and a need to ship a public data API this week: Tinybird earns its price. hypequery is the fit when ownership, types, and cost control matter more than zero ops.
Further reading
Go deeper where it actually helps
hypequery vs Tinybird
The full comparison: infrastructure, pricing model, type safety, and code ownership.
Open guide
ClickHouse REST API
How @hypequery/serve turns query definitions into validated, documented endpoints.
Open guide
ClickHouse SaaS analytics
Patterns for customer-facing analytics on ClickHouse, including tenant isolation.
Open guide
ClickHouse real-time analytics
Serving fresh ClickHouse data to product features with a typed layer.
Open guide
Next step
Rebuild one Pipe as a typed endpoint
Point hypequery at your ClickHouse, generate types, and recreate one Tinybird Pipe as a typed query served over HTTP. That’s the honest evaluation.