KNIME Analytics Platform Software

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About KNIME Analytics Platform

KNIME Analytics Platform is an on-premise data analytics platform, which helps small to large businesses create and manage data science applications or services. The drag-and-drop interface allows users to create workflow prototypes, monitor performance and streamline in-data processing or distributed computing using Apache Spark framework. Key features of KNIME Analytics Platform include predictions, data cleaning, filtering, data model validation and reporting. Users can build machine learning models to automate data processes such as classification, dimensionality reduction, regression and cluster analysis, leveraging the use of artificial intelligence across operations. Businesses can use KNIME Analytics Platform to integrate data from any source in unstr...

KNIME Analytics Platform Pricing

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KNIME Analytics Platform workflow prototype screenshot

KNIME Analytics Platform User Reviews

OVERALL RATING

SECONDARY RATINGS

Ease-of-use

4.5

Value for money

4.5

Customer support

4

Functionality

4.5

Showing 1 - 5 of 19 reviews

User Profile

Yashoda

Verified reviewer

Company size: 1 employee

Industry: Program Development

Time used: Less than 12 months

Review Source: Capterra

This reviewer was invited by us to submit an honest review and offered a nominal incentive as a thank you.
5

Ease-of-use

out of 5
5

Value for money

out of 5
5

Customer support

out of 5
5

Functionality

out of 5

August 2019

A Suitable software for Engineering Undergraduates

This is a good software which helps to solve statistical ptoblems,mathematical problems and also algorithm problems.so in Engineering there have lots of problems belongs to aforesaid kind of problems.so this can be useful for pre- Engineers.

Pros

This software gives most accurate answers and it has more sensitivity & most of values have precision.

Cons

sometimes error messages displaying while works are in progress

Ferhat

Company size: 5,001-10,000 employees

Industry: Information Technology and Services

Time used: More than 2 years

Review Source: Capterra

This review was submitted organically. No incentive was offered
5

Ease-of-use

out of 5
3

Value for money

out of 5
3

Customer support

out of 5
3

Functionality

out of 5

January 2020

Data Science 101 Platform for non-IT people

It was the tool I learned the Data Science in the first place. So it is really good and intuitive with its graphical interface. For example you understand train-test split very well because you literally see the split as you work on it. As I progressed and needed more functions and more custom solutions, I started using Python scripts and solved it like that. So it gave me all these abilities.

Pros

- Its ease of use makes it possible for non-IT, non-developer, non-CS background people to make data manipulation, preprocessing, mining, visualization and modelling. - It has a graphical interface with nodes and connections so that you don't need to know Python/R to make predictive models or association rules/recommendation systems. - There's a vast library of functions - Even more functions are created by the community so non-existing customized functions are created by the community, via existing functions. - The visual flow of data makes it easy to understand and interpret it. - It teaches the CRISP-DM methodology in an intuitive way thanks to its graphical user interface - It can connect to SQL and similar servers so that the data can be read directly. - It is possible to write own Python/R script for custom needs.

Cons

- Custom needs are hard to carry out. - Functions have limited abilities and parameters - Data visualization is weak and relatively primitive - Model development is easy but deployment is hard - It is very slow unfortunately and I think this is KNIME's most important drawback

Reasons for choosing KNIME Analytics Platform

Not only other options were very expensive and KNIME was free but also KNIME came with much more functionality, compared to other end-user packages.

Anonymous

Company size: 5,001-10,000 employees

Time used: Less than 12 months

Review Source: Capterra

This reviewer was invited by us to submit an honest review and offered a nominal incentive as a thank you.
3

Ease-of-use

out of 5
5

Value for money

out of 5
2

Customer support

out of 5
4

Functionality

out of 5

May 2020

Solid Platform for Small Datasets and Broad Data Connectivity

The two main reasons we used KNIME were to process and prep data, then to conduct machine learning by training models and processing predictions. KNIME is great with data prep and blend as long as the data set is small to medium in size (< 4GB). There were areas where we struggled and that was when models were more complex (> 50 variables) and being able to deploy and schedule jobs. We had to download JDBC drivers for our database connections, which was not something we had to do with other platforms.

Pros

There is a wide range of tools to process and prep data in the platform natively and additional tools that can be download within the platform. The ability to customize the settings for most of the tools allows the user to adjust the output. Even more technical settings, like hyperparameter tuning, can be done in the tool UI. There are numerous input and output options and types.

Cons

Pulling in very basic files, like Excel spreadsheets can be a bit challenging where other platforms handle files with ease. Also, database connections are not seamless. The Java memory errors also limit the size of data that can be processed without making manual adjustments to settings. Lastly, not being a cloud-based platform, processing big data is very time-consuming.

Reasons for choosing KNIME Analytics Platform

In the end, we moved away from KNIME and chose Alteryx.

Debarpan

Company size: 501-1,000 employees

Industry: Marketing and Advertising

Time used: Less than 6 months

Review Source: Capterra

This review was submitted organically. No incentive was offered
5

Ease-of-use

out of 5
5

Value for money

out of 5
5

Customer support

out of 5
5

Functionality

out of 5

April 2022

Excellent open source complete analytics solution

We have used Knime to ingest huge volumes of data from multiple data sources. With Knime we cleaned the data and transformed and standardized it. Furthermore, we did a statistical analysis of the data to extract important insights. Workflows were automated to handle data coming every day. All this improved the efficiency of the business processes. We developed reports with the data to convey our consolidated findings for better decision making.

Pros

Totally free to use for any purposes Easy and simple UI, easy to get started Excellent community support - Open source with all technical details available No code application, automate and run workflows Can be integrated with external applications like R, Python

Cons

Reporting and visualisation functionalities could be improved A large number of features together gives an impression of being cluttered sometimes Memory allocation could be improved

Anonymous

Company size: 51-200 employees

Review Source: Capterra

This reviewer was invited by us to submit an honest review and offered a nominal incentive as a thank you.
4

Ease-of-use

out of 5
5

Value for money

out of 5
4

Functionality

out of 5

September 2020

Great for all types of data scientists

I have had a very positive experience with KNIME and like it a lot more than other drag and drop machine learning tools I have tried out.

Pros

Some drag and drop tools for machine learning are really limited, but KNIME is not. There are a ton of capabilities of the tool that are built in, and there are even more that are available online, like AutoML. It gives citizen data scientists the ability to create good models without knowing a programming language, and it increases the bandwidth of actual data scientists by allowing them to easily create more models and experiments.

Cons

Of course, it is more limited than a programming language, and if you're familiar with building models programmatically, there is a learning curve that will slow you down and limit you at first.

Reasons for choosing KNIME Analytics Platform

The pricing model for KNIME was better for us, because the free version includes a lot more than the others, and right now, helping clients get started for free and easily is the most important part to us.