Compare - Data Culpa VS Griffin
Here’s the difference between Data Culpa and Griffin. The comparison is based on pricing, deployment, business model, and other important factors.
About Data Culpa
Data Culpa Validator checks the data quality of ingest data — whether in a data feed or in files deposited in a data lake — before you transform and load that data into your processing pipeline.
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 | ||
|---|---|---|
| Categories | Data Quality Monitoring | Data Quality Monitoring |
| Stage | Early Stage | Mid Stage |
| Target Segment | Mid Size | Enterprise, Mid size |
| Deployment | SaaS | On Prem |
| Business Model | Commercial | Open Source |
| Pricing | Free Trail / , Contact Sales | Freemium |
| Location | Boston, US | US |
| Companies using it | ||
| Contact info |
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