Here’s the difference between Airflow and Deepnote. 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.
Deepnote provides programming notebooks for developers. The product offers variables & plots, code intelligence, real-time collaboration. It also provides integration with GitHub and GitLab, Amazon S3, MongoDB, GCS buckets, PostgreSQL connections. It offers a data science book that provides deployment. Also, it enables to review of project work, visualizes data, and offers intelligent completion solutions.
|Categories||Workflow Orchestration||Data Workspace/ Collaboration|
|Stage||Early Stage||Early Stage|
|Target Segment||Enterprise, Mid size||Mid size, Enterprise|
|Business Model||Open Source||Commercial|
|Pricing||Not Available||Freemium, Contact Sales|
|Location||US||San Francisco, California|
|Companies using it|