Compare - Decube VS Griffin
Here’s the difference between Decube and Griffin. The comparison is based on pricing, deployment, business model, and other important factors.
About Decube
Decube is an end-to-end data observability platform that uses ML-powered Data Quality to reduce data quality incidents, making data more reliable. With features like incident spotting, Data Lineage, data reconciliation, Smart Alerts, and a Data Catalog, their platform helps organizations learn and act on data quality issues with ease, ensuring a smoother business operation.
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, SMB's | Enterprise, Mid size |
| Deployment | SaaS | On Prem |
| Business Model | Commercial | Open Source |
| Pricing | Contact Sales | Freemium |
| Location | Kuala Lumpur, MY | US |
| Companies using it | ||
| Contact info |
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