Updated 32 mins ago
Ingest any event stream in real time.
Ingest events in real time from Kafka, Kinesis, Pub/Sub, and more, or push events over HTTP. Keep events fresh without batching or schedules.

Load dimensions from files and tables.
Load batch data from warehouses like BigQuery or Snowflake, or lakes like Amazon S3 and Google Cloud Storage, without additional ETL or scheduling tools.

Join and enrich streams with dimensions.
Enrich your real-time streams with historical batch data using a simple JOIN, and materialize the result at ingestion time to keep queries fast.

Tinybird's developer experience helps you build data products faster using SQL and Git.
Do it your way.
Use your favorite IDE to build real-time data products. Then use Git to version and iterate them.
Build with SQL
Use your favorite IDE to build real-time data products. Then use Git to version and iterate them.
Publish data as APIs
Use your favorite IDE to build real-time data products. Then use Git to version and iterate them.


