Here’s the difference between Airflow and Lightdash. The comparison is based on pricing, deployment, business model, and other important factors.
Apache Airflow is a workflow automation and scheduling system that can be used to author and manage data pipelines. Airflow uses workflows made of directed acyclic graphs (DAGs) of tasks.
Lightdash removes the gap between your data transformation layer and your data visualization layer. It enables data analysts and engineers to control all of their business intelligence (data transformations/business logic as well as data visualization) in a single place. Lightdash integrates with your dbt project and gives a framework for defining metrics and specifying joins between models all within your existing dbt YAML files. The data output from your dbt project is then available for exploring and sharing in Lightdash.
|Categories||Workflow Orchestration||Metrics Store, Business Intelligence (BI)|
|Stage||Early Stage||Early Stage|
|Target Segment||Enterprise, Mid size||Mid size, SMBs|
|Business Model||Open Source||Open Source|
|Companies using it|