Turn your Kafka Data into actionable API Endpoints your teams can consume

Instead of building a new consumer every time you want to make sense of your Data Streams, write an SQL query and expose an API endpoint. Easy to maintain. Always up to date.

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No hassle

Connect to Kafka and start building APIs right away. Forget about anything else.

Fast & Smart

Ingest millions of rows per second. Fix import errors on-the-fly.

SQL based

Run embedded fast transformations using our Data Pipes.

Secure

Implement Data Source or row-level permissions using our Auth tokens.

Turn streams into
answers in minutes, not weeks

Ingest, enrich and build APIs over your Kafka data streams at any scale in a matter of minutes. Let us worry about performance so you can focus on enabling your teams.

1
One topic, one data source
Tinybird consumes your topics in real-time into Data Sources that can be queried individually via SQL.
2
Enrich your streams
As Data comes in, you can enrich it with additional business relevant data via our Data Pipes and prepare it for consumption.
3
Publish API endpoints
Share access securely to your data with just one click and get full OpenAPI and Postman documentation for your APIs.

$ curl \ -H "Authorization: Bearer $TOKEN" -X POST "https://api.tinybird.co/v0/datasources" \ -d "name=my_datasource" \ -d "bootstrap_servers=you.confluent.cloud" \ -d "username=userkey" \ -d "password=yourconfluentcloudsecret" \ -d "topic=shopping-cart-events" \ -d "group_id=cart_charts" ` > Topic connected! Receiving data... $
$ curl \ -H "Authorization: Bearer $TOKEN" \ -X POST "https://api.tinybird.co/v0/pipes" \ -d "name=shopping_cart_events_per_hour" \ -d "sql=SELECT toStartOfHour(event_time) as hour, event_name, count() c FROM shopping-cart-events GROUP BY hour, event_name" > Pipe created `{ "id": "t_e2f96173af3da01c6e08ab647ea74404", "name": "shopping_cart_events_per_hour", "nodes": [ { "id": "t_3a11bf1e1fa4e98ff214ff99fc6ad2a6", "name": "shopping_cart_events_per_hour_0", "sql": "SELECT toStartOfHour(event_time) as hour, event_name, count() c FROM shopping-cart-events GROUP BY hour, event_name", "created_at": "2020-06-21 08:38:45.752960", "updated_at": "2020-06-21 08:38:45.752960" } ] "endpoint": null, "created_at": "2020-06-21 08:38:45.752936", "updated_at": "2020-06-21 08:38:45.752965" }` $ curl \ -H "Authorization: Bearer $TOKEN" \ -X PUT \ -d t_3a11bf1e1fa4e98ff214ff99fc6ad2a6 \ -d "https://api.tinybird.co/v0/pipes/shopping_cart_ events_per_hour/endpoint" > Pipe published! `{ "id": "t_e2f96173af3da01c6e08ab647ea74404", "name": "shopping_cart_events_per_hour", "nodes": [...], "endpoint": "shopping_cart_events_per_hour", "created_at": "2020-06-19 08:38:13.752936", "updated_at": "2020-06-19 08:49:59.864445" }` $
$ curl \ -H "Authorization: Bearer $TOKEN" \ "https://api.tinybird.co/v0/pipes/shopping_cart_events _per_hour.json" `{ "meta": [ { "name": "hour", "type": "DateTime" }, { "name": "event_name", "type": "String" }, { "name": "c", "type": "Int16" } ], "data": [ { "hour": "2020-06-22 10:00:00", "event_name": "item_added", "c": 12332 }, { "hour": "2020-06-22 10:00:00", "event_name": "item_removed", "c": 2435 }, { "hour": "2020-06-22 10:00:00", "event_name": "quantity_changed", "c": 129 }, { "hour": "2020-06-22 10:00:00", "event_name": "order_placed", "c": 685 } ], "rows": ..., "statistics": { "elapsed": 0.037134251, "rows_read": 23854144, "bytes_read": 190833152 } }` $