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Why RapidMiner Server?
Lightning fast data science for teams
If you're familiar with RapidMiner Studio, the argument for using RapidMiner Server boils down to three points: collaboration, deployment, and computational power. For examples, see the enterprise use cases.
Collaboration
RapidMiner Server makes it easy to share libraries of processes and models throughout your organization. Users and groups help you to fine-tune access control.
Deployment
Once you have built a model or a repeatable process, it's time to deploy it! RapidMiner Server helps you by:
automating batch jobs, scheduling them every day, every hour, every minute, or whenever you need them
generating real-time predictions or other web services from any user-created process.
Computational power
To run large jobs, you need a machine that is more powerful than your laptop. The architecture of RapidMiner Server scales to your needs.
Docker images are available. You can run RapidMiner Server on-site or as a cloud image.