Tinybird
Tinybird is a managed ClickHouse platform that turns a SQL query into a deployed HTTP endpoint, aimed at developers building real-time analytics into applications rather than operating a database.
LicenseCommercial
DeploymentManaged
PricingFreeSubscription
Operational complexityLow
WorkloadInteractiveStreaming
Use it when
- The deliverable is an API, not a database: a saved SQL query becomes a versioned, parameterized HTTP endpoint with authentication and observability attached.
- A product team wants ClickHouse performance without operating ClickHouse.
- Streaming ingest over HTTP plus the managed connectors covers your sources, and the standing free tier makes evaluation honest.
- ClickHouse knowledge should transfer in, and the option to leave should stay open.
Think twice when
- You need the full surface of a database: arbitrary tooling, engine settings, and workloads beyond published endpoints.
- Volume is sustained and high; managed convenience prices above running ClickHouse yourself at scale.
- Endpoints throttle with 429s as capacity saturates; sizing is a plan decision rather than a knob you hold.
How it runs
Fully managed: push events to the Events API or connect a source, define pipes (SQL transformations), and publish endpoints. ClickHouse runs underneath, with materialized views doing insert-time aggregation. The free tier covers 10 GB of storage, 10 million rows a day, and 1,000 API calls a day; paid plans scale on compute. Self-managed is in beta.
Details
CompareHow Tinybird answers the questions OLAP Engines turns on.
OLAP Engines
| How it works | |
| Specialization | Analytics backend: ClickHouse published as parameterised APIs |
| SQL dialect | ClickHouse SQL with templated query parameters in pipes |
| Joins | ClickHouse joins |
| Updates and deletes | Append-only; delete and replace by SQL condition through the API |
| Ingest to queryable | Seconds: Events API acks on receipt; wait=true confirms commit |
| Storage format | Managed ClickHouse; MergeTree family engine per data source |
| Compute and storage | Fully managed, shared or dedicated infra; self-managed in beta |
| Indexes | ClickHouse sorting key per data source; skipping indexes in datafiles |
| Pre-aggregation | Materialized views run as insert triggers into aggregating engines |
| Running it | |
| Concurrent users | Capacity-based: endpoints throttle with 429 as resources saturate |
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