Here’s the difference between Monosi and Griffin. The comparison is based on pricing, deployment, business model, and other important factors.
Monosi is an extensible data observability platform that ensures teams achieve data reliability. It provides- Data monitoring setup in less than 10 minutes. It is an OSS alternative to proprietary data quality and observability systems
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.