Compare - Continual VS Onehouse
Here’s the difference between Continual and Onehouse. 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 Onehouse
Onehouse delivers a new bedrock for your data, through a cloud-native managed lakehouse service built on Apache Hudi, which was created by the founding team while they were at Uber. Onehouse makes it possible to blend the ease of use of a warehouse with the scale of a data lake, by offering a seamless experience for engineers to get their data lakes up and running.
Comparison Table
| Overview | ||
|---|---|---|
| Categories | Feature Store | Data Lakes |
| Stage | Early Stage | Early Stage |
| Target Segment | Mid size, Enterprise | SMBs, Mid-size, Enterprise |
| Deployment | SaaS | Open source |
| Business Model | Commercial | Commercial |
| Pricing | Contact Sales | Conatct Sales |
| Location | San Francisco, California | Menlo Park, California |
| Companies using it | ||
| Contact info |
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