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.

Join the upcoming KNIME Data Talks - Community Edition on July 7: Mingle with the community in the virtual space, find out what's new in KNIME, test out software features at the demo booths, and more!

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 the free, open-source software for creating data science.

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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.

Semantics and Ontologies

Extracting and sharing knowledge in a reusable way.

Anomaly Detection

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

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

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KNIME Software: Creating and Productionizing Data Science

Contributor of the Month

Alzbeta Tuerkova is the contributor of the month for June. In her research paper, she and co-author Barbara Zdrazil show how KNIME is used for an efficient and reproducible drug-repurposing strategy to identify new drug candidates for rare diseases and COVID-19. The workflow, tutorials, and information gained on COVID-19 data are freely available to the scientific community for follow-up studies or can be tailored to the specific needs of other use cases (read the full paper below).

Thanks Alzbeta for your contributions!

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

Read Paper in Journal of Cheminformatics Alzbeta's Hub Profile

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.