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?


Gather & Wrangle

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 & Optimize

Leverage insights gained from your data
KNIME Spring Summit 2020 Berlin

March 30 - April 3, 2020 in Berlin, Germany

KNIME Spring Summit - Data Science in Action
Anomaly Detection

Predict when critical equipment parts will go bad to prevent failures and downtime.

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.

Price Benchmarking

Stay ahead of the competition with automated pricing insights.

Anomaly Detection

Inventory Level Optimization

Disease Tagging

Recommendation Engine for Retailers

Customer Sentiment Measurement

Price Benchmarking

Media article
With this release we are continuing our progress toward a community oriented data science platform, adding lots of functionality that enables easier sharing with the KNIME Community. Most noticeably, of course, the KNIME Hub itself but there are also a number of changes in KNIME Analytics Platform making sharing and collaborating with the community easier...
‐ by Michael Berthold
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KNIME Software: Creating and Productionizing Data Science

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. 

KNIME Users presenting their Use Cases

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