Here’s the difference between Continual and Sifflet. The comparison is based on pricing, deployment, business model, and other important factors.
Continual is the missing AI layer for the modern data stack. Get continually improving predictions – from customer churn to inventory forecasts – directly in your data warehouse. No complex engineering required.
You make important business decision based on data. Sifflet ensures the data is reliable, traceable and easy to navigate.
Overview | ||
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Categories | Feature Store | Data Quality Monitoring |
Stage | Early Stage | Early Stage |
Target Segment | Mid size, Enterprise | Mid size, Enterprise |
Deployment | SaaS | SaaS |
Business Model | Commercial | Commercial |
Pricing | Contact Sales | Custom, Usage based |
Location | San Francisco, California | Paris, France |
Companies using it | ||
Contact info |