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?

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
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
Blog
See here how to read and write information using Amazon S3 and access that data to create, populate, and interact with Amazon DynamoDB. KNIME lets you connect to DynamoDB tables using a graphical user interface - no need to code.
‐ by Maarit Widmann
Social youtube
KNIME TV
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 happy to announce Angus Veitch’s article on his TweetKollidR workflow as the community contribution for November. In his blog, Angus describes the KNIME workflow for creating text-rich visualizations of Twitter data. Angus is a KNIME community member and has written numerous blogs about KNIME.

Thanks for your contributions, Angus!

View TweetKollidR Workflow Read Blog Post

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.