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.

Now Available: KNIME Business Hub

How can KNIME Software Help in your Data Analysis?

Create

Blend & Transform

Access, merge, and transform all of your data.

Model & Visualize

Make sense of your data with the tools you choose.

Productionize

Deploy & Manage

Support enterprise-wide data science practices.

Consume & Interact

Leverage insights gained from your data.
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KNIME Analytics Platform

KNIME Analytics Platform is an open source software with an intuitive, visual interface that lets you build analyses of any complexity level. Access, blend, analyze, and visualize data, without any coding, or integrate your favorite tools and libraries as needed.

KNIME Hub screenshot

KNIME Hub

KNIME Hub is the commercial software for collaborating and scaling data science, offered online as KNIME Community Hub, or installed into a company's private infrastructure as KNIME Business Hub. KNIME Hub provides a single environment for users across different expertises to work together.

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KNIME Partner Awards 2022

Congratulations to Mydral, ClearPeaks, HupData, and Forest Grove Technology, the respective winners of the 2022 Partner of the Year and Partner Innovation Awards.

The KNIME Partner of the Year awards recognize outstanding partner performance across business growth, customer service, training and enablement, and delivery of quality projects. The Partner Innovation Award recognizes partners who share best practices by publishing Innovation Notes or Success Stories. This year the awards have been expanded to include two new regional awards: APAC and the Americas.

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Automated Workflow Testing and Validation

Automate testing, save time, and catch errors early.

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Inventory Level Optimization

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

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Disease Tagging

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

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Recommendation Engine for Retailers

Increase store level sales through better brand portfolio decision making.

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Customer Sentiment Measurement

Evaluate customer pain points to better allocate and manage resources.

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Risk Information Extraction

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

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Semantics and Ontologies

Extracting and sharing knowledge in a reusable way.

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Anomaly Detection

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

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Price Benchmarking

Stay ahead of the competition with automated pricing insights.

Automated Workflow Testing and Validation

Inventory Level Optimization

Disease Tagging

Recommendation Engine for Retailers

Customer Sentiment Measurement

Risk Information Extraction

Semantics and Ontologies

Anomaly Detection

Price Benchmarking

Contributor of the Month – November 2022

Although long overdue, we are happy to announce Daniel Weikert as the COTM for November. Daniel has stood out as a community contributor with his Udemy courses on KNIME, teaching more than 6,000 users everything from how to get started with KNIME to how to convert from Excel to KNIME. Daniel has most recently presented an excellent webinar on the same topic, Excel to KNIME.  He’s passed his teaching evaluation to become a KNIME Certified Trainer

Thanks Daniel for your contributions!

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

Daniel's Hub Profile KNIME Crash Course for Beginners

Join 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. 

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