Tinybird is kind of like dbt, but for real-time use cases. Here's how and why you might migrate real-time API use cases from dbt to Tinybird.

Tinybird is a real-time data analytics platform for building fast and scalable data pipelines, offering tools for data ingestion, processing, and visualization. From this blog users can learn about stream processing, data warehousing, and analytics techniques to unlock insights from their data and make data-driven decisions.

Tinybird

Tinybird offers an alternative to dbt for real-time analytics, simplifying the process of migrating API use cases from dbt. It provides built-in support for real-time processing, API endpoint creation, and simplifies the tech stack by consolidating all data operations. Tinybird uses ClickHouse for faster performance, especially for API responses. Migrating involves mapping dbt concepts to Tinybird equivalents, such as materialized views for incremental updates, and creating optimized data source schemas.

dbt in real-time

Mapping dbt concepts to Tinybird: A new way of thinking