Here’s the difference between Dagster and Count. 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.
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.
Overview | ||
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Categories | Workflow Orchestration | Data Workspace/ Collaboration |
Stage | Early Stage | Mid Stage |
Target Segment | Mid size, Enterprise | Mid Size, Enterprise |
Deployment | On PremSaaS | SaaS |
Business Model | Open Source | Commercial |
Pricing | Freemium, Contact Sales | Freemium, Contact Sales |
Location | United States | London, England |
Companies using it | ||
Contact info |