Here’s the difference between Owl Dq and Griffin. The comparison is based on pricing, deployment, business model, and other important factors.
Owl Analytics provides data management and predictive analytics solutions. It allows users to access data from various sources, analyze and view insights from the data. It enables businesses to manage relationships from the data, create predictive models and remove outliers from the data to improve business performance. It also provides solutions to manage duplicates, clean and process data to analyze and visualize. It offers a subscription-based pricing model.
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.