Here’s the difference between Monte Carlo Data and Griffin. 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.
Apache Griffin is a model-driven data quality service platform where you can examine your data on-demand. It provides a standard process to define data quality measures, executions and reports, allowing those examinations across multiple data systems. When you don't trust your data, or concern that poorly controlled data can negatively impact critical decision, you can utilize Apache Griffin to ensure data quality.
|Categories||Data Quality Monitoring||Data Quality Monitoring|
|Stage||Early Stage||Mid Stage|
|Target Segment||Enterprise, Mid size||Enterprise, Mid size|
|Deployment||SaaSOn Prem||On Prem|
|Business Model||Commercial||Open Source|
|Location||San Francisco, US||US|
|Companies using it|