Tinybird helps data teams and developers build real-time applications at scale through SQL-based API endpoints. Ingest millions of rows per second and publish low latency, high concurrency APIs over data at scale.
Build new APIs over your raw data in minutes. Every new use case is just an SQL query away.
All your Data APIs in one place, automatically documented and scaled. Consistent results for your Data/Dev Teams.
Get sub-second results concurrently and at scale. Over billions of rows.
Connect Data Streams, Data Warehouses or CSVs. Explore with SQL, publish as APIs and build.
Use our Data Connectors or just use .csv files. Tinybird guesses the best schema for your data and ingests millions of rows per second.
Start simple and optimize later. Tinybird is orders of magnitude faster than relational databases and traditional data warehouses.
Just use SQL to power your transformations and APIs in a notebook-like environment.
Forget about data pipelines. Just work with raw data. You can transform with SQL on-the-fly, at ingestion or query time.
From data to APIs in minutes. Implement business logic using dynamic parameters. Share automatically generated API documentation pages with the whole team.
Use tokens to control access to API endpoints. Implement as many access policies as you need. Support for row-level security.
Tinybird is the easiest way to develop realtime analytics APIs over big quantities of data for your low-latency and high concurrency applications.
Use our User Interface, our CLI tool or our REST API
NODE endpoint
DESCRIPTION >
returns sales ranking by category
SQL >
SELECT
date,
topKMerge(10)(top_10) as top_10
FROM top_product_per_day
WHERE
date > {{Date(startdate)}} AND
family = {String(fam)}}
GROUP BY
date