Here’s the difference between Airflow and Count. 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.
Count is a collaborative data whiteboard. It combines all the power of your SQL IDE, Python notebook, and BI tool - in a reactive, real-time canvas. Instead of working one query at a time in an IDE, the canvas lets you lay out your entire thought process in one place, and explain not just the answer but how you got there. Analyze data with SQL, Python, or drag-and-drop query builders. Import and export dbt models. Run queries against your database, or locally in the browser using DuckDB and Python. Share canvases to get help from a teammate or feedback from stakeholders. Turn any canvas into a dashboard, report, interactive app, or even a slide deck.
|Categories||Workflow Orchestration||Data Workspace/ Collaboration|
|Stage||Early Stage||Mid Stage|
|Target Segment||Enterprise, Mid size||Mid Size, Enterprise|
|Business Model||Open Source||Commercial|
|Pricing||Not Available||Freemium, Contact Sales|
|Companies using it|