Here’s the difference between Great Expectations and Airflow. The comparison is based on pricing, deployment, business model, and other important factors.
Great Expectations provides open-source enterprise data management solutions. It helps data teams eliminate pipeline debt, through data testing, documentation, and profiling. It maintains up-to-date data documentation by rendering expectations directly into clean, human-readable documentation. Users can join to GitHub and Slack community groups.
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.
Overview | ||
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Categories | Data Quality Monitoring | Workflow Orchestration |
Stage | Early Stage | Early Stage |
Target Segment | Mid size | Enterprise, Mid size |
Deployment | On Prem | SaaS |
Business Model | Open Source | Open Source |
Pricing | Freemium | Not Available |
Location | California, US | US |
Companies using it | ||
Contact info |