The modern real-time
analytics stack

Tinybird helps data teams build real-time Data Products at scale through SQL-based API endpoints. It ingests millions of rows per second and serves low latency, high concurrency analytical queries over any amount of data.

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Real-time analytics

Speed, flexibility and productivity

Seamless data ingestion

Use our Data Connectors or just use .csv files. Tinybird guesses the best schema for your data and ingests millions of rows per second.

Fast by default

Start simple and optimize later. Tinybird is orders of magnitude faster than relational databases and traditional data warehouses.

SQL based

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.

Dynamic and self-documenting APIs

From data to APIs in minutes. Implement business logic using dynamic parameters. Share automatically generated API documentation pages with the whole team.

Secure and rapid application development

Use tokens to control access to API endpoints. Implement as many access policies as you need. Support for row-level security.

Built for techies

Tinybird is the easiest way to develop real-time 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
 returns sales ranking by category
    topKMerge(10)(top_10) as top_10
  FROM top_product_per_day
   date > {{Date(startdate)}} AND
    family = {String(fam)}}  

Buil for techies