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Why RapidMiner Server?
Lightning fast data science for teams
If you're familiar withRapidMiner Studio, the argument for using RapidMiner Server boils down to three points: collaboration, deployment, and computational power. For examples, see theenterprise use cases.
Collaboration
RapidMiner Server makes iteasy to share在你的图书馆的过程和模型organization.Users and groupshelp 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
generatingreal-time predictionsor other web services from any user-created process.
Docker imagesare available. You can run RapidMiner Server on-site or as acloud image.
Computational power
To run large jobs, you need a machine that is more powerful than your laptop. Thearchitectureof RapidMiner Server scales to your needs.
