Here’s the difference between Monte Carlo Data and Great Expectations. 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.
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 | ||
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Categories | Data Quality Monitoring | Data Quality Monitoring |
Stage | Early Stage | Early Stage |
Target Segment | Enterprise, Mid size | Mid size |
Deployment | SaaSOn Prem | On Prem |
Business Model | Commercial | Open Source |
Pricing | Freemium | Freemium |
Location | San Francisco, US | California, US |
Companies using it | ||
Contact info |