Tinybird
Real-time analytics APIs on ClickHouse with an MCP server and AI tooling.
About
Tinybird is a real-time data platform built on hosted ClickHouse that turns SQL queries into secure, scalable API endpoints. Developers stream in events via HTTP or Kafka, define tables and pipelines as code with Git workflows, and serve sub-second analytics to user-facing dashboards.
Its AI story includes an MCP server that makes real-time data LLM-ready, an AI-powered IDE integration for faster pipeline development, and an AI-focused developer experience with branches, zero-copy environments, and schema iteration. It targets SaaS, e-commerce, gaming, and fintech teams building user-facing analytics.
What it can do
- Sub-second SQL APIs over hosted ClickHouse
- Streaming ingestion via HTTP and Kafka
- MCP server making data LLM-ready
- AI-powered IDE integration
- Data-as-code with Git workflows and branches
Setup
Sign up, create a data source, and publish your first pipe as an API endpoint from the CLI or UI.
Prerequisites
Event or analytical data to ingest; basic SQL knowledge.
Use cases
Works with
Trust score — 8/10
Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 130; Trending score 80/100 from researcher assessment.
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.