Collaborate in teams
Share expertise and best practices by sharing data, components, and workflows across your team and company.
Comply with data protection policies through the control of access management at the data, workflow, and application levels.
Reproduce data science by recording workflow revisions along with the data, enabling debugging, tracking, and auditing.
Automate workflow execution
Schedule workflows to run automatically and give yourself more time to focus on data science.
Control workflows to automate model management
Scale and pin workflow execution with well provisioned, high performance server architecture which is configured to your specifications.
Design, edit, and execute workflows on KNIME Server using the Remote Workflow Editor and take advantage of well provisioned hardware in a secure environment.
Deploy analytical applications and services
Bring complex data science to business analysts with the KNIME WebPortal. Data scientists build and deploy a workflow to KNIME Server. End users interact with the workflow in the web in a controlled way and view results.
Build and publish detailed reports which can be sent via email or accessed on demand from the KNIME WebPortal.
Deploy workflows as industry standard web services seamlessly from KNIME workflows via REST API, and build out your data science infrastructure.
Set properties on workflows to control workflow specific settings on KNIME Server.
Manage and monitor
Host KNIME Server in your data center or in the cloud via Microsoft Azure, Amazon AWS, or the cloud provider of your choice.
Integrate authentication with corporate LDAP / Active Directory setups and manage permissions.
Monitor server activity and manage ongoing services in the AdminPortal.
Control IT operations via central management of settings for multiple KNIME Analytics Platform installations.
Manage day-to-day activities efficiently, for example send notification emails, instruct workflows to be archived to a specific location on KNIME Server.