Compare - Griffin VS Anomalo

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

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.

About Anomalo

Anomalo is a cloud-based data validation and documentation software solution provider. The features of the solution include document validation without code, search table, column & metric in a data warehouse, etc. It also provides web and slack notifications, tailored data analyses, visualizations & statistical summaries, secure deployment, etc.

Comparison Table

Overview
CategoriesData Quality MonitoringData Quality Monitoring
StageMid StageEarly Stage
Target SegmentEnterprise, Mid sizeMid size
DeploymentOn PremSaaS
Business ModelOpen SourceCommercial
PricingFreemiumContact Sales
LocationUSUS
Companies using it
Shopify logoHomeToGo logoAritzia logo
Contact info
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