Learn how to analyse TeraBytes of data in Real-Time with our "Principles of Real-Time Analytics" course
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.
Build new APIs over your raw data in minutes. Every new use case is just a SQL query away.
All your Data APIs in one place, automatically documented and scaled. Consistent results for your Data/Dev Teams.
Get sub-second results with high concurrency over billions of rows.
Connect Data Streams, Data Warehouses or CSV. Explore with SQL, Publish as APIs and build.
Use our Data Connectors or just use .csv files. Tinybird guesses the best schema for your data and ingests millions of rows per second.
Start simple and optimize later. Tinybird is orders of magnitude faster than relational databases and traditional data warehouses.
Run SQL queries, including filters, sorts, aggregations and joins in a notebook-like environment.
Forget about data pipelines. Just work with raw data. Transformations are done on-the-fly, when ingesting or requesting data.
From data to APIs in minutes. Implement business logic using dynamic parameters.
Focus on making good use of your data and simplify your data stack. Do more with less moving pieces.
Data is encrypted at REST. Our Auth Tokens let you enforce strong data access policies across your API endpoints.
Track and monitor the performance of your data operations and API endpoints with the same tools you exploit your data: through SQL, in your own account, in real-time.
Tinybird makes your data teams faster by enabling DataOps best practices for big data projects.
Stop spending in batch processing. Tinybird scales linearly and we can offer predictive pricing and on-demand scaling.
Tinybird is the easiest way to develop real-time analytics APIs over big quantities of data for your low-latency and high concurrency applications.