Compare - Datafold VS Griffin

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

About Datafold

Datafold offers a cloud-based quality assurance & monitoring solution for analytical data. The solution enables the users to automate the quality assurance of analytical data. It verifies the data to prevent data corruption every time a developer makes a change that impacts the data in production. It also provides integration over PostgreSQL, etc.

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
StageEarly StageMid Stage
Target SegmentEnterprise, Mid sizeEnterprise, Mid size
DeploymentSaaSOn Prem
Business ModelCommercialOpen Source
PricingFreemiumFreemium
LocationCalifornia, USUS
Companies using it
Contact info
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