Tinybird

Tinybird is a real-time analytics backend that lets developers build data-intensive features and APIs on top of streaming data without managing infrastructure. Ingest millions of events per second from Kafka, webhooks, S3, or direct API calls, then query that data in real-time using SQL and publish the results as low-latency API endpoints. The entire workflow is code-based and version-controlled: define data sources, write SQL transformations as pipes, and deploy API endpoints, all from your git repository using the Tinybird CLI. Each API endpoint is automatically optimized, cached, and documented with an OpenAPI spec. Tinybird is built on ClickHouse, an OLAP database designed for analytical queries on massive datasets, but abstracts away all the complexity of running and tuning ClickHouse clusters. Common use cases include real-time dashboards, user-facing analytics, usage-based billing, personalization engines, anomaly detection, and operational monitoring. The platform handles time-series data, aggregations, and complex joins across billions of rows with sub-second query times. The free tier includes 10GB of storage and 1,000 API requests per day. For developers building data products or adding analytics features to existing applications, Tinybird eliminates months of data infrastructure work.