Tinybird is a real-time analytics platform that turns raw data into API endpoints using SQL.
What You Get for Free (Free Tier)
- 10GB storage — enough for millions of events
- Unlimited API calls — no rate limits on reads
- SQL-based — write SQL, get an instant API endpoint
- Real-time ingestion — stream data via HTTP, Kafka, or S3
- ClickHouse under the hood — columnar storage, blazing-fast aggregations
- Materialized views — pre-compute expensive queries
- API endpoints — parameterized SQL queries as REST APIs
- Dashboard — built-in charting and monitoring
Quick Start
# Ingest data
curl -X POST 'https://api.tinybird.co/v0/events?name=page_views' \
-H 'Authorization: Bearer YOUR_TOKEN' \
-d '{"url": "/pricing", "country": "US", "ts": "2026-03-28"}'
# Create an API endpoint (SQL → REST)
# SELECT country, count() as views FROM page_views GROUP BY country
# Publish as: GET /v0/pipes/views_by_country.json
Why Developers Switch from BigQuery/Redshift
Traditional warehouses aren't built for real-time:
- Millisecond queries — vs 5-30 seconds on BigQuery
- No infrastructure — fully managed, no clusters
- SQL → API — write SQL, get an endpoint, no backend needed
- Streaming ingestion — data available instantly, not batch-loaded
A marketing team waited 30 seconds per BigQuery dashboard load. After Tinybird: same data, same SQL, 50ms response time. Their real-time dashboard now auto-refreshes every second.
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