Tinybird
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What is Tinybird?

Tinybird is a managed data platform built on ClickHouse, designed to help developers and enterprises ship real-time analytical features faster and at lower cost. It provides a complete data infrastructure that handles ingestion, storage, querying, and serving data via APIs, eliminating the need to manage complex database clusters. With Tinybird, you can ingest up to 1000 events per second over HTTP, process and transform data in real time, and serve sub-second queries to millions of users. The platform is SOC 2 Type 2 compliant and offers SSO/SAML authentication for enterprise security. It provides isolated resources, uptime guarantees, and the ability to scale query workloads independently, ensuring consistent performance even under high load. You can store unlimited data with automatic replication, and get direct access to world-class experts for architecture guidance. Tinybird is ideal for building analytics dashboards, monitoring systems, product analytics, and any application requiring fast, scalable data processing. Use cases include real-time user behavior tracking, financial data aggregation, IoT sensor data analysis, and more. The platform offers a developer-friendly experience with a powerful SQL-based query language, version control for data projects, and a CLI for local development. It integrates seamlessly with modern data stacks and AI coding agents, enabling rapid prototyping and deployment. By abstracting away ClickHouse management, Tinybird lets teams focus on building features rather than maintaining infrastructure. Whether you're a solo founder or a large enterprise, Tinybird provides the tools and scalability to deliver analytical features with sub-second latency, serving over 30 million requests per day for customers like The Hotels Network, Canva, and Vercel. Its event ingestion endpoint replaces complex systems like Kafka, making it easy to send analytics events directly over HTTP. With Tinybird, you can achieve in days what would take weeks with traditional tooling, as noted by engineers at Canva and Dub.

Who is it for?

developers, data engineers, product teams, enterprise architects, analytics teams, IoT engineers

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