Here’s the difference between Monte Carlo Data and Dagster. The comparison is based on pricing, deployment, business model, and other important factors.
Monte Carlo is a database administration and monitoring solutions, provider. The features of the product include revenue loss prevention and security, data adoption, downtime reduction, data security, and data flow monitoring, etc. It also provides BI tools, data warehouse, data lake, etc.
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.
Overview | ||
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Categories | Data Quality Monitoring | Workflow Orchestration |
Stage | Early Stage | Early Stage |
Target Segment | Enterprise, Mid size | Mid size, Enterprise |
Deployment | SaaSOn Prem | On PremSaaS |
Business Model | Commercial | Open Source |
Pricing | Freemium | Freemium, Contact Sales |
Location | San Francisco, US | United States |
Companies using it | ||
Contact info |