Tinybird
Real-time analytics APIs from raw data in seconds
Overview
Tinybird simplifies real-time analytics by providing a managed pipeline from data ingestion through API publishing. Send event data via API, transform it with SQL, and publish the results as low-latency API endpoints - all without managing ClickHouse clusters or building custom API layers.
The SQL-based transformation layer is accessible to anyone who knows SQL. Define materialized views, aggregate metrics, and join datasets using familiar SQL syntax. Tinybird compiles these queries into optimized ClickHouse operations that execute in milliseconds over billions of rows.
For product teams building user-facing analytics - dashboards, usage reports, real-time metrics - Tinybird provides the entire backend. Ingest events, define the calculations, and expose the results as API endpoints that your frontend consumes directly.
Key Features
Event Ingestion
High-throughput data ingestion via API and streaming
SQL Transformations
Transform data with familiar SQL queries
API Publishing
Publish query results as low-latency REST endpoints
ClickHouse Engine
Sub-second queries over billions of rows
Real-Time
Data available for querying within seconds of ingestion
Versioning
Git-like version control for data pipelines
Why We Recommend Tinybird
Tinybird lets us add real-time analytics features to client applications without building and managing ClickHouse infrastructure. The SQL-to-API pipeline is the fastest path from raw events to user-facing dashboards.