Compare - Monosi VS Griffin

Here’s the difference between Monosi and Griffin. The comparison is based on pricing, deployment, business model, and other important factors.

About Monosi

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

About Griffin

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.

Comparison Table

Overview
CategoriesData Quality MonitoringData Quality Monitoring
StageMid Stage
Target SegmentSMBs, Mid-size, EnterpriseEnterprise, Mid size
Deploymentopen sourceOn Prem
Business ModelCommercialOpen Source
PricingContact SalesFreemium
LocationSan FranciscoUS
Companies using it
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