Description
Tinybird is a data platform built on managed ClickHouse that provides the infrastructure and tooling to ship enterprise-grade analytical features faster and at lower cost. It lets developers capture, store, transform, and serve data without depending on external tools or teams, so they can build user-facing analytics directly into their apps.
The platform pairs ClickHouse performance with a Vercel-level developer experience, offering low-latency queries over large volumes of data with zero infrastructure management. It exposes data through scalable REST APIs, and is built for coding agents so an AI coding agent can build and deploy analytics with Tinybird. Customers use it to serve tens of millions of requests per day with sub-second latency.
Tinybird is enterprise-ready, with SOC 2 Type II, HIPAA, and GDPR compliance, SSO and role-based access control, dedicated clusters and SLAs, compute-compute separation, and bottomless storage with zero-copy replication. Plans range from a free developer tier to shared and dedicated infrastructure options with vertical and horizontal scaling.
Tinybird's Core Features
Managed ClickHouse with zero infrastructure management
Capture, store, transform, and serve data in one platform
Scalable REST APIs to serve analytics in your app
Low-latency queries over large data volumes
Built for coding agents to build and deploy analytics
SOC 2 Type II, HIPAA, and GDPR compliance
SSO and role-based access control
Dedicated clusters, SLAs, and bottomless storage
How to use Tinybird?
Sign up: Start with the free developer tier.
Ingest data: Capture and store your data in Tinybird's managed ClickHouse.
Transform: Build queries and transformations over your data.
Publish APIs: Serve results as scalable REST APIs in your application.
Scale: Move to shared or dedicated infrastructure as usage grows.
Tinybird's Use Cases
- User-facing analytics
- Real-time data APIs
- Managed ClickHouse
- AI-built analytics
