End to End Data Science

At KNIME, we build software to create and productionize data science using one easy and intuitive environment, enabling every stakeholder in the data science process to focus on what they do best.

How can KNIME Software help you?


Blend & Transform

Access, merge, and transform all of your data

Model & Visualize

Make sense of your data with the tools you choose


Deploy & Manage

Support enterprise-wide data science practices

Consume & Interact

Leverage insights gained from your data
KNIME Analytics Platform

KNIME Analytics Platform

KNIME Analytics Platform is the free, open-source software for creating data science.

KNIME Server Guided Analytics via Web Portal

KNIME Server

KNIME Server is the commercial solution for productionizing data science.

Automated Workflow Testing and Validation

Automate testing, save time, and catch errors early.

Inventory Level Optimization

Achieve the perfect trade-off between inventory costs and service level.

Disease Tagging

Reduce time spent sifting through medical literature with automatic disease tagging.

Recommendation Engine for Retailers

Increase store level sales through better brand portfolio decision making.

Customer Sentiment Measurement

Evaluate customer pain points to better allocate and manage resources.

Risk Information Extraction

Remove the need for manual work by automatically gathering and harmonizing text-based information.

Automated Workflow Testing and Validation

Inventory Level Optimization

Disease Tagging

Recommendation Engine for Retailers

Customer Sentiment Measurement

Risk Information Extraction

Media article

What are the FAIR guiding principles and how to FAIRify your data

When research data cannot be found, when access, interoperability, and reuse are impaired, the impact can be significant, hampering data-driven innovation and jeopardizing the success of collaborations. The FAIR guiding principles facilitate maximum data reuse....

January 18, 2021 – by Alice Krebs
Social youtube
KNIME Software: Creating and Productionizing Data Science

Contributor of the Month

Each month, we highlight community members doing unique and interesting things with KNIME, or sharing useful data science tips and tricks.

We’re starting the new year by announcing two contributors for the month of January: Evan Bristow and Miguel InfMad, who are long time KNIME users and data science experts. In recent years, Evan and Miguel have put their expertise to good use by building and nurturing a Facebook community for all KNIME users - from newbies to experts.

Thanks for your contributions, Evan and Miguel!

Visit Facebook Community

Be part of the KNIME Community

Join us, along with our global community of users, developers, partners and customers in sharing not only data science, but also domain knowledge, insights and ideas.