Here’s the difference between Continual and Apache Spark. 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.
Apache Spark is an open-source unified analytics engine for large-scale data processing. Spark provides an interface for programming entire clusters with implicit data parallelism and fault tolerance.
Overview | ||
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Categories | Feature Store | Data Modelling and Transformation |
Stage | Early Stage | Late Stage |
Target Segment | Mid size, Enterprise | Mid Size, Enterprise |
Deployment | SaaS | On Prem |
Business Model | Commercial | Open Source |
Pricing | Contact Sales | Freemium |
Location | San Francisco, California | US |
Companies using it | ||
Contact info |