Tinybird Real-Time Analytics

Ship real-time analytics APIs with Tinybird. Generates data sources, materialized views, pipes, and published API endpoints powered by ClickHouse — for in-product analytics, monitoring, and personalization.

This skill builds Tinybird projects end-to-end: .datasource definitions ingesting from Kafka/Confluent/S3/HTTP, .pipe SQL transformations chained into endpoints, materialized views for pre-aggregation, parameterized API endpoints with auth tokens, and CI/CD via tb deploy. Includes performance tips for ClickHouse-backed queries and integration patterns for Next.js and React.

When to use

Use when building user-facing analytics (in-product dashboards, usage metering), real-time personalization APIs, or any feature needing sub-second queries over billions of rows.

Examples

Usage metering API

Per-customer API call counts in real time

Build a Tinybird pipeline that ingests API request logs from Kafka, materializes hourly aggregates per customer, and exposes a tokenized endpoint /api/usage?customer_id=X for our billing dashboard

In-product analytics widget

Time-series chart powered by Tinybird

Create a Tinybird pipe that returns 30-day daily active users for a given workspace_id with row-level token security, plus a React hook to fetch and render it