Compare - Continual VS Keboola
Here’s the difference between Continual and Keboola. The comparison is based on pricing, deployment, business model, and other important factors.
About Continual
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.
About Keboola
Keboola Connection provides a cloud based staging layer to mash up data from various sources including social networks, web services, internal databases, etc.. Users can display it in Tableau or GoodData. The platform is fully extensible by third parties in all layers. Platform capabilities includes a cloud ETL layer that uses SQLDEP for easy orientation in large SQL queries. Access your own sandboxes for quick adjustments and apps to reduce repetitive tasks. Users can use SQL or R as the blending language.
Comparison Table
| Overview | ||
|---|---|---|
| Categories | Feature Store | Data Workspace/ Collaboration, Managed Data Stack |
| Stage | Early Stage | Late Stage |
| Target Segment | Mid size, Enterprise | Mid size, Enterprise |
| Deployment | SaaS | SaaS |
| Business Model | Commercial | Commercial |
| Pricing | Contact Sales | Freemium, Contact Sales |
| Location | San Francisco, California | US |
| Companies using it | ||
| Contact info |
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