Tinybird is a managed ClickHouse platform that turns streaming events into sub-second analytics APIs, giving developers real-time data infrastructure without owning any of it.
Most teams can ingest event data but struggle to serve it: raw ClickHouse is powerful yet operationally heavy, and transactional databases crumble under analytical load. Tinybird packages managed ClickHouse with developer tooling that covers the whole flow — stream events over HTTP or Kafka connectors, transform them with SQL pipes, and publish each query as a parameterized REST API endpoint with authentication, rate limiting and caching built in, all defined as code.
The pitch is ClickHouse performance with Vercel-level developer experience: you develop locally with the CLI, deploy atomically, and scale vertically or horizontally without touching cluster management, load balancing, backups or upgrades. Because it speaks SQL and exposes APIs, product teams can ship analytics features — live dashboards, in-app metrics, usage-based billing feeds — directly inside their applications. Recent releases lean AI-native: Tinybird Code acts as an AI ClickHouse expert in your project, a remote MCP server lets AI coding agents build analytics autonomously, and agent skill packs wire the whole workflow into agent harnesses.
The Free plan is free forever with no credit card: shared infrastructure, 10 GB of storage and 1,000 requests per day, aimed at development and small projects. The Developer plan costs $49/month with 25 GB of storage and larger compute, and the SaaS and Enterprise tiers are custom for bigger workloads with dedicated infrastructure, private regions and compliance guarantees. Pricing scales on compute rather than surprising per-query fees.
Developers shipping real-time analytics features inside their products — event feeds, usage dashboards, personalization — without a data platform team. Teams with batch-only analytics or strict on-prem requirements will find a data warehouse a better fit.