Here’s the difference between Apache Griffin and Griffin. The comparison is based on pricing, deployment, business model, and other important factors.
Apache Griffin is an open source Data Quality solution for Big Data, which supports both batch and streaming mode. It offers an unified process to measure your data quality from different perspectives, helping you build trusted data assets, therefore boost your confidence for your business.
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.
Overview | ||
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Categories | Data Quality Monitoring | Data Quality Monitoring |
Stage | Early Stage | Mid Stage |
Target Segment | Mid size | Enterprise, Mid size |
Deployment | Open source | On Prem |
Business Model | Open Source | Open Source |
Pricing | Not Available | Freemium |
Location | Houston, Texas, US | US |
Companies using it | ||
Contact info |