Knime, A Simple Review

by Scott Max

So, you are considering Knime.

You’ll be wondering if it's a good choice for you, if its feature set compares well to other options on the market, and if it is priced affordably enough for what you get.

This article will break all that down for you and more. 

Plus, at the end of the article you’ll find links to alternatives to Knime as well as our top picks for the options in this category.

Or, just go straight to Our top picks for Best analytics tools

Without further ado, let’s get started.

Knime Features

KNIME is a data analytics, reporting and integration platform. KNIME integrates various components for machine learning and data mining through its modular data pipelining concept. It enables analysts to access, transform, and analyze data in a transparent, understandable way without programming.

Moreover, Knime is a free and open-source data analysis and machine learning tool. It is written in Java and is available for Windows, macOS, and Linux. Knime is used for data analytics, machine learning, and scientific research. Knime is used worldwide to solve complex problems around human resources, diversity and talent-related data for the company. Knime helps you productionize data science and implement the strategies faster for better impact. With Knime, you can gain valuable hidden insights by merging or transforming different data sets.

Some features of the KNIME data analytics software include its user-friendly interface, its ability to seamlessly integrate with various data sources, and its wide range of analytical and statistical tools. KNIME also offers extensive documentation and support, making it an ideal software solution for both experienced data analysts and those just starting out.

Here are some exclusive features of Knime:

Workflow Builder: Knime lets you create visual workflows for data analytics using its drag-and-drop graphical interface. You can model each step of data analysis, control the flow and ensure your work is current. Knime's workflow builder helps you automate data merging and collection so you can focus on analysis and reporting.

Find Patterns Swiftly: Knime is a flexible and powerful tool for data analysis and scientific discovery. It allows you to quickly and easily find patterns and relationships in your data, and to build models and predictive models to better understand and predict outcomes.

Advanced Management: Knime offers server and cloud hosting options, allowing you to manage every aspect of the platform. With Knime's highly configurable abilities, you can pass tough security requirements without compromising on the end-to-end experience.

Data Management: With Knime's virtual connections, you can design and share a central access point to your data source rather than connecting several workbooks independently. It enables you to curate relevant tables for analysis and simplifies management by consolidating your data.

Data Shaping: With Knime, you can derive statistics, including mean, quantiles and standard deviations. You can also clean data through normalization, value handling or conversion. Knime helps you detect out-of-range values with its anomaly detection algorithms. Additionally, Knime lets you extract and select features to prepare your data sets.

Machine Learning and AI: Knime allows you to build machine learning models for classification, regression or clustering. You can optimize the model performance with hyperparameter optimization, bagging or building complex ensembles. Moreover, Knime enables you to validate models by applying performance metrics.

CRM Analytics: With Knime, you can find patterns and experience actionable insights specific to your business. You can then infuse these insights into every process. Knime drives faster decisions with AI-powered predictions and recommendations. It allows you to auto-scale across all users and leverage permissions.

Data Insights: With Knime, you can visualize your data in classic or advanced charts. It displays the summary statistics in the Knime table and lets you filter out irrelevant entries. Additionally, you can store processed data or analytics results and export reports to share them with stakeholders.

Execution Scaling: Knime allows you to build workflow prototypes so you can explore various analysis approaches. You can inspect and save intermediate results to ensure the efficient discovery of new solutions. Moreover, Knime lets you exercise the power of in-database processing on Apache Spark.

Knime Pricing

Knime Server

Complete licenses offer server-to-server deployment and high computational scalability to power expensive processes and decision workflows. It provides users with web-based professional user interfaces, is open to integration via third-party tools, and integrates with enterprise applications.

Basic node license

Permits usage of licensed nodes for data manipulation and interaction on personal workstations, without the ability to save or share processes or create network shares.

Price: $0

Standard node license

Permits usage of licensed nodes for data manipulation and interaction on personal workstations, with the ability to save or share processes and create network shares.

Price: $2,495-$2,995 per named user

Advanced node license

Permits usage of licensed nodes for data manipulation and interaction on personal workstations, with the ability to save or share processes and create network shares. Advanced licenses allow for the execution of processes on a remote server and provide access to the graphical user interface for monitoring process execution.

Knime also offers an on-demand pricing quote for its subscription plans. You can click "Pricing" and tap "Contact us". Next, fill out the required form, and Knime's sales team will contact you.

Knime Discounts and Coupons

Knime currently does not offer any discounts or coupons for its subscription plans.

Knime Free Trial

Knime offers a free version of its analytics tool. You can download the free Knime software from the official website. If you don't have a subscription, Knime will automatically register you for the free plan.

Knime, A short how-to guide

This guide is designed to give you an overview of how Knime works and how to use it effectively. After completing this guide, you will be able to:

• Download and install Knime

• Launch Knime and open a workflow

• Configure nodes in a workflow

• Execute a workflow

• Export and share a workflow

Installing Knime

Before you can use Knime, you need to download and install it on your computer. Knime is available for Windows, Mac, and Linux.

To download Knime, go to the Knime website and click the Download button.

On the next page, select the edition of Knime that you want to install. For this tutorial, we will be using the Community Edition.

Click the Download button and select the installer for your operating system. Once the download is complete, launch the installer and follow the prompts to install Knime.

Once you have KNIME installed, launch the application and you should see the "Welcome to KNIME" dialog.

From the "Welcome to KNIME" dialog, you can either choose to open an existing workflow or create a new workflow. For this tutorial, we will be creating a new workflow.

Creating and exporting a new workflow

To create a new workflow, click on the "Create new workflow" button.

This will take you to the workflow editor, which is where you will be spending most of your time in KNIME. The workflow editor is where you will be adding nodes and connecting them together to create your data analysis workflow.

Click on a data set to start analyzing it. You can right-click on a set and select combine to superimpose it with another relevant data set. You can save intermediate results by simply exporting the report while analyzing.

Click on "Workflows" to create automation workflows. Here, you can model the data analysis process for a set and put it on autopilot.