Getting Started Guide

for KNIME Analytics Platform Version 5

What is KNIME Analytics Platform Version 5?

KNIME Analytics Platform is an open source software with an intuitive, visual interface that lets you build analyses of any complexity level - from automating spreadsheets to ETL to machine learning.

KNIME Analytics Platform Version 5 is currently available as an early release. It is built with an updated UX/UI that simplifies building your first workflow and becoming familiar with low-code/no-code analytics. To that end, this version includes the Starter Perspective – a perspective that lets users ease into building workflows to prepare data quickly and efficiently with a targeted set of nodes.

What you’ll find below is a guide for this specific early access version of KNIME Analytics Platform. If you’re looking to get started with the classic user interface, please follow this guide instead.

Getting Set Up with KNIME Analytics Platform Version 5

If you haven’t downloaded KNIME Analytics Platform Version 5 yet, you can do so here.

Once you have installed KNIME Analytics Platform, you can start analyzing your data right away. The entry page is the first thing you will see. Here you can access three example workflows to get started, or, if you’re following along with this guide, create your first workflow from scratch.

After you created your first empty workflow, you can start by dragging and dropping your data into the workflow editor to read them in and add nodes from the node repository to build your workflow. Each node performs a specific task and helps you proceed quickly into the manipulation, cleaning, and visualization of your data. 

Connect the node’s ports to let the data flow from left to right into your workflow. Drag and drop a connection into an empty area inside the workflow canvas to display the quick node adding panel, with up to twelve suggested nodes to help you build your workflow easier and faster.


Build your First Workflow

You can follow along with this guide by either downloading the workflow and reading the guide to better understand it, or, attempting to build the workflow on your own. Either way, you can access the workflow at any time on the KNIME Community Hub.

Now let’s say that you have some data that you want to process, analyze and visualize. With the following example workflow, you will read, combine, clean, and summarize data from multiple Excel sheets. Then you will calculate the total volume of a cargo that carries furniture from one house to another.

Nodes and Workflows

In KNIME Analytics Platform, individual tasks are represented by nodes. Each node is displayed as a colored box with input and output ports. Nodes can perform all sorts of tasks, including reading/writing files, transforming data, training models, creating visualizations, and so on.

More Examples

Jump start your analysis with the example workflows on the KNIME Hub. You can drag and drop the workflows to your local workspace, modify them according to your use case, or copy parts of them to your workflow.

Find even more examples here.


Join the community and find solutions, support, and other inspirational thoughts from other KNIME users. The KNIME Forum is available for all types of questions, comments and conversations.

Visit KNIME Forum.


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