Tinybird is a data platform that ingests event streams and databases, builds real-time SQL-based APIs, and powers analytical features directly from production data.
Tinybird is a real-time data platform designed to help teams build and deploy analytical features and APIs directly on top of streaming and batch data. It ingests data from multiple sources—such as event streams, databases, and data warehouses—and stores it in a columnar, analytics-optimized engine based on ClickHouse. Users can then define SQL-based “Pipes” to clean, transform, aggregate, and join data at scale, without managing underlying infrastructure.
A core capability of Tinybird is its ability to turn SQL queries into low-latency, high-concurrency HTTP APIs with a single click. This makes it well suited for powering customer-facing analytics, personalized product experiences, operational dashboards, anomaly detection, and usage-based billing systems. It supports real-time ingestion from Kafka, Kinesis, webhooks, and other streaming sources, enabling sub-second query performance on fresh data.
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