Tinybird is a managed ClickHouse analytics platform for software teams building real-time features. Ingest streaming and batch data through HTTP, Kafka, Amazon S3, Google Cloud Storage, or file uploads; transform it with SQL and materialized views; then serve results to applications, BI tools, and agents through authenticated Endpoints, the Query API, the ClickHouse interface, or MCP. This combines ingestion, processing, and delivery so teams can ship analytical features with less infrastructure work. Define resources in TypeScript, Python, or datafiles, test locally or in isolated Cloud Branches, and deploy through the CLI or CI/CD. Branches can attach production partitions without copying their underlying data, supporting validation before deployment. Workspace metrics, logs, and deployment diffs help operators investigate errors and performance. Tinybird Local is a development, testing, and CI runtime. Self-managed regions are beta and restricted to development; they require customer-managed maintenance, scaling, security, and upgrades. Tinybird supports incremental migration from existing ClickHouse deployments; hands-on implementation and migration require a separate paid Professional Services engagement.
More product details
Product
- Documentation
- tinybird.co/docs/forward/quickstarts
- License Model
- Proprietary
- Solution Kind
- Platform
Who it is for
- Use Cases
- Real-time analytics
- Analytics API development