Tinybird helps data teams deliver real-time answers at scale through analytical API endpoints built in minutes, not weeks.
1
Ingest millions of rows per second from your Data Streams, Data Warehouses or using CSV files.
kafka_events
21.3B rows / 4.1Gb
Works with Relational Databases, Data Warehouses and Data Streams.
2
Query and shape your data using Pipes, a new way to chain SQL queries inspired by Python Notebooks. Designed to reduce complexity without sacrificing performance.
By splitting your query in different nodes you simplify development and maintenance.
top_products
SELECT product_id, count() AS sales FROM events
WHERE event = 'buy'
GROUP BY product_id
ORDER BY sales DESC
Use JOINs to enrich your data. Enable parameterised API endpoints using a simple templating language.
top_products_endpoint
SELECT title, sales, sales*price as revenues
FROM o top_products
JOIN o products using product_id
ORDER BY {{column(order_by, 'sales')}} DESC
LIMIT {{Int8(limit, 10, required=True)}}
Activate your production-ready API endpoints with one click. Transformations occur on-the-fly so you will always work with the latest data.
3
Share access securely to your data in one click and get fast and consistent results.
Apart from providing monitoring tools, Tinybird scales linearly: don't worry about traffic spikes.
We decided to go with Tinybird rather than continuing to invest on our internal Clickhouse cluster. Tinybird's tools, scalability and support have helped us accelerate and improve our analytics dashboards for our customers.
Jordi Miró
CTO at The Hotels Network
After testing with Postgres, Cassandra, Redshift, etc. we finally went with Tinybird. Technical support is incredible and our query latency has improved a lot. We are no longer worried about how many rows we have
Pedro Liévana
Lead Engineer at Plytix
Analytics at STAY are at another level now, all thanks to Tinybird's platform and the amazing technical support from their team during the migration and implementation process.
Joan Lladó
CEO of STAY
With Tinybird we were able to deploy an alerts system over Kafka data without having to deploy a single line of code or worry about scale.
And any new use case is just a SQL query away
Ignasi Vegas
Data Engineer at Feedback Loop
Tinybird takes out the hassle of dealing with data access performance and DB scaling. Now we can focus on what really matters: providing the best tool possible to our clients
Álex López
Co-founder and CTO
Imagine if you could turn, in a matter of minutes, any Data Stream or CSV file into a fully secured real-time analytics API endpoint.
Connect your data, write your SQL and expose results via API endpoints.
Learn how to build a quick and easy API endpoint using open data. It will not take you more than 10 minutes.
