Tinybird builds a platform that ingests streaming and batch data (Kafka, Amazon Kinesis, Pub/Sub, BigQuery, Snowflake, S3) and lets developers use SQL to filter and combine sources, producing JSON API endpoints for real-time queries. The product is built on ClickHouse and intentionally avoids traditional ETL/ELT pipelines, removing the need for tools like Airbyte, Stitch or Fivetran. Customers use Tinybird for real-time analytics, personalization, sports gambling, smart inventory management and operational management. The company processes several petabytes of data daily and supports customers ingesting up to half a million records per second. Tinybird says it tripled revenue in the last year and works with customers including Vercel, Canva and FanDuel. Future plans include accommodating more data sources and standards like Apache Iceberg and using AI to help developers optimize SQL queries and data schemas to reduce latency and increase performance. Tinybird provides a managed platform that ingests data from warehouses and streams, lets developers transform it with SQL, and exposes the results as JSON-based APIs for realtime analytics. The company manages infrastructure so customers do not need to provision additional servers and are charged based on gigabytes stored and processed. Tinybird offers connectors for common sources including PostgreSQL, MySQL, CSV files in cloud storage, Amazon Redshift, Google BigQuery, Snowflake and Apache Kafka. The product can ingest millions of rows per second; the company says some customers read over 1.5 trillion rows per day and ingest around 5 billion rows per day, while others make an average of 250 requests per second to APIs querying billion-row datasets. Tinybird recently moved its headquarters from Madrid to New York City and plans to expand its U.S. team and ramp up product and sales. Co-founder and CEO Jorge Gomez Sancha frames realtime analytics as a way to automate operations, react faster to opportunities and provide customized realtime user experiences. Tinybird ingests data at scale, enables transformations via SQL (CLI and web interfaces), and exposes those transformations as JSON API endpoints that behave like realtime queries. The product is divided into three parts: continuous ingestion from connected data sources, stepwise SQL transformations with inline documentation and previews, and auto-generated API endpoints. Behind the scenes Tinybird runs on ClickHouse but manages the infrastructure so customers don’t have to. The team of co-founders originally met at Carto and built the company to address order-of-magnitude growth in customer data. Tinybird has identified three primary use cases: in-product analytics, operational intelligence (realtime dashboards), and automation/complex event processing such as realtime web-application-firewalling. Some customers read over 1.5 trillion rows per day on average and ingest around 5 billion rows per day; others make an average of 250 requests per second to Tinybird APIs querying multi‑billion‑row datasets. The company has raised a $3 million seed round led by Crane.vc.

Total raised

$70M

Funding rounds

3

Latest round

Series B

Latest activity

Jun 2024