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 Analytics Platform 4.0 and KNIME Server 4.9 now available

Here are all the details on the features and functionalities that come with this release. Read the summary and launch into the latest version of KNIME Software!

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Anomaly Detection

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

Competitive Pricing Decisions

Stay ahead of the competition with automated pricing insights.

Inventory Optimization

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

Pharma Patents

Stay on top of the competitive landscape to ensure commercial success.

Recommendation Engine for Retailers

Increasing store level sales through better brand portfolio decision making.

Measure Customer Sentiment

Evaluate customer pain points to better allocate and manage resources.

Anomaly Detection

Competitive Pricing Decisions

Inventory Optimization

Pharma Patents

Recommendation Engine for Retailers

Measure Customer Sentiment

- Austin, Texas, USA
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 Open for Innovation

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.