Here’s the difference between Dagster and Great Expectations. The comparison is based on pricing, deployment, business model, and other important factors.
Dagster is an orchestrator that's designed for developing and maintaining data assets, such as tables, data sets, machine learning models, and reports.You declare functions that you want to run and the data assets that those functions produce or update. Dagster then helps you run your functions at the right time and keep your assets up-to-date.
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.
Overview | ||
---|---|---|
Categories | Workflow Orchestration | Data Quality Monitoring |
Stage | Early Stage | Early Stage |
Target Segment | Mid size, Enterprise | Mid size |
Deployment | On PremSaaS | On Prem |
Business Model | Open Source | Open Source |
Pricing | Freemium, Contact Sales | Freemium |
Location | United States | California, US |
Companies using it | ||
Contact info |