What is KNIME Analytics Platform?

KNIME Analytics Platform is a free and open-source data analytics and AI platform that enables users to create data and AI solutions using a visual workflow builder with no coding required.

Is KNIME free to use?

Yes, KNIME Analytics Platform is completely free and open-source with no limitations on data size or functionality. Commercial offerings like KNIME Business Hub are available for enterprise governance, collaboration and deployment needs.

What industries use KNIME?

KNIME is used across multiple industries including pharmaceuticals, financial services, manufacturing, retail & CPG, life sciences, and public sector organizations to help them make the most of their data, whether thats through ETL, data analytics and AI work, or agent-building. .

Analytics made intuitive,
AI made reliable

Workflows for your best data work — ETL, data analytics, predictive AI and data-aware agent building.

Download KNIME for free Learn about KNIME for the Enterprise

Visual workflows for complex data & AI work.

KNIME workflows allow anyone, whether they’re a business analyst or an experienced data scientist, to harness the latest and greatest data technology through an intuitive interface.

Why visual workflows

Bring data & AI solutions to your organization, safely.

KNIME is a single platform for end-to-end data science. Beyond building workflows, commercial teams leverage KNIME to ensure sensitive data is kept safe, analytics and AI models are validated and monitored, and results are verified and explainable.

Explore KNIME Software for Enterprises

Blend & Transform

Access any data type from any source with 300+ connectors.

Model & Visualize

Choose from a complete range of analytic and AI methods and models.

Deploy & Monitor

Securely deploy data science solutions with a standard process.

Consume & Interact

Go enterprise-scale, with cloud-native architecture.

Hear from our customers

“KNIME is easy to learn and adopt and is an integral part of our corporate Citizen Data Scientist training program. We’ve had engineers go from complete beginners to analytics practitioners within a few months.”
Allan LukDirector of Data Science and Analytics Business Solutions

Read success story