Compare - Apache Griffin VS Anomalo
Here’s the difference between Apache Griffin and Anomalo. The comparison is based on pricing, deployment, business model, and other important factors.
About Apache Griffin
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.
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 | ||
|---|---|---|
| Categories | Data Quality Monitoring | Data Quality Monitoring |
| Stage | Early Stage | Early Stage |
| Target Segment | Mid size | Mid size |
| Deployment | Open source | SaaS |
| Business Model | Open Source | Commercial |
| Pricing | Not Available | Contact Sales |
| Location | Houston, Texas, US | US |
| Companies using it | ||
| Contact info |
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