Compare - Unravel data VS Griffin
Here’s the difference between Unravel data and Griffin. The comparison is based on pricing, deployment, business model, and other important factors.
About Unravel data
Unravel's purpose-built observability platform helps you stop firefighting issues, control costs, and run faster data pipelines. Unravel radically simplifies the way businesses understand and optimize the performance of their modern data operations—and the complex data pipelines that power those operations. providing a unified and granular view across the entire data stack. Adobe, Mastercard, DBS bank, Cox Automotives, and many more data-driven organizations rely on Unravel to simplify their dataops and derive more value from their data.
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, Business Reliability/Observability | Data Quality Monitoring |
| Stage | Mid-Stage | Mid Stage |
| Target Segment | SMB's, Mid-size, Enterprise | Enterprise, Mid size |
| Deployment | SaaS | On Prem |
| Business Model | Commercial | Open Source |
| Pricing | Free-Trial/ Contact Sales | Freemium |
| Location | Palo Alto, California | US |
| Companies using it | ||
| Contact info |
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