Data Science Team Collaboration
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.
Data Science Automation
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.
Leverage the enterprise infrastructure choices while covering periods of high demand, dynamically with Elastic and Hybrid Execution.
Deploy Analytical Applications and Services
Bring complex data science and machine learning to business analysts with Guided Analytics. 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 Workflows
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 settings for multiple installations.