KNIME offers a complete platform for end-to-end data science, from creating analytic models, to deploying them and sharing insights within the organization, through to data apps and services.
Build analyses with an intuitive, low-code/no-code interface and genAI
Perform analysis at any level of sophistication, from data prep to leveraging AI/ML including LLMs
Generate workflows automatically with a genAI assistant and get guidance when you are stuck
Eliminate repetitive and manual data manipulation with automated workflows
Access and blend data from any source, whether from your desktop or from any major database or data warehouse
Explore your data with interactive data views, choosing from dozens of charts
Collaborate on and share workflows across disciplines
Collaborate on visual workflows, either privately with colleagues or with your wider organization
Save and reuse repeatable data processes, analytical models, or scripts across disciplines
Collaborate effortlessly between multiple users with version control
Deploy and monitor insights across the enterprise
Deploy your workflows as data apps or REST APIs, disseminating insights across the organization
Automate the delivery of insights to any number of stakeholders across the organization
Minimize IT bottlenecks with centralized administration, but with deployment monitoring at the team level
Scale to empower any number of users, running any number of workflows in a single environment
Consume and reuse
Empower self-sufficiency with data apps provided to any number of end users
Create a knowledge base for your team, department, or entire organization. Build and share reusable workflows as best practices or starter kits for beginners
KNIME Community HubBuild and share privately, or publicly with open source communityLearn more
KNIME Business HubBuild, share, deploy, and scale in a private environmentLearn more
KNIME Analytics PlatformBuild analytic solutionsLearn more
Why KNIME
Hear about why Marcel Meyer, Head of Data Governance and Management at SIEMENS Healthineers, chooses to use KNIME for maintaining and curating datasets for widespread analytics.