User Reviews Overview

Feature Ratings

Ease-of-use

4.5 / 5

Value for Money

4.5 / 5

Customer Support

4.0 / 5

Functionality

4.5 / 5

Ratings Breakdown

5 stars

(5)

5

4 stars

(6)

6

3 stars

(0)

0

2 stars

(0)

0

1 stars

(0)

0

  • Pros

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

  • "KNIME allows you to focus on the data science and not the programming to get there. The point and click solution is easy to use."

  • "great software for modelling any data job - its easy to work with "

  • Cons

  • "sometimes error messages displaying while works are in progress "

  • "a) I have tried to integrate knime with the Jupiter notebooks but that was failed."

  • "There are many options and in-app support/help/guidance would make this tool even more user-friendly so that the data science team can focus on data tasks."

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Showing -49 - -39 of 11 results

August 2019

Yashoda from University of Jaffna

Verified Reviewer

Company Size: 1 employee

Industry: Program Development

Time Used: Less than 12 months

Review Source: Capterra


Ease-of-use

5.0

Value for money

5.0

Customer support

5.0

Functionality

5.0

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

January 2020

Ferhat from Garanti BBVA

Verified Reviewer

Company Size: 5,001-10,000 employees

Industry: Information Technology and Services

Time Used: More than 2 years

Review Source: Capterra


Ease-of-use

5.0

Value for money

3.0

Customer support

3.0

Functionality

3.0

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.

May 2020

Anonymous

Verified Reviewer

Company Size: 5,001-10,000 employees

Time Used: Less than 12 months

Review Source: Capterra


Ease-of-use

3.0

Value for money

5.0

Customer support

2.0

Functionality

4.0

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.

March 2020

Ivan from Bayer

Verified Reviewer

Company Size: 10,000+ employees

Industry: Pharmaceuticals

Time Used: Less than 2 years

Review Source: Capterra


Ease-of-use

4.0

Value for money

4.0

Customer support

3.0

Functionality

5.0

March 2020

Visualized pipeline for Data Scientist

It is a good tool for small business owners, but it lacks the scalability for larger audiences.

Pros

It has a well built GUI for visualizing the pipeline for your data-driven applications, and it also comes with a KNIME Server for CRAN job application and deployment of your software

Cons

The UI is a little laggy and files can get excessively large, run time and speed is also slow when integrating with other scripting languages.

July 2019

Meliksah from Arcelik

Verified Reviewer

Company Size: 5,001-10,000 employees

Industry: Consumer Electronics

Time Used: More than 2 years

Review Source: Capterra


Ease-of-use

5.0

Value for money

4.0

Customer support

4.0

Functionality

4.0

July 2019

KNIME is very easy to learn and use for anybody

KNIME is a very good Data Analytics software overall. If the team can handle the slowness issue, it's great for both computer science associates and other employees.

Pros

There are multiple features that is great about KNIME. - It has a visual UI that does not require programming knowledge, where you connect nodes by drag and dropping but still do not lose the flexibility of programming languages because it has Python, R and JavaScript nodes too where you can write your own code. - Since it's a visual UI that you work on, it's possible to track down what's going on, similar to an ETL tool. That's something that does not exist on programming. - Community continuously develops Nodes so its like an organism that grows.

Cons

Its upsides come with downsides: - Since it's high level (so to speak in CS manner) software. It is far from computer language, and that makes it very slow. It gets even slower more nodes and extensions are installed which was again, an upside. - Nodes have customization and parameter management but they are not as customizable as Python/R libraries, though for that Python/R node can be used.

March 2018

Stephen from Casey Family Programs

Verified Reviewer

Company Size: 201-500 employees

Industry: Non-Profit Organization Management

Time Used: Less than 12 months

Review Source: Capterra


Ease-of-use

4.0

Value for money

5.0

Customer support

5.0

Functionality

4.0

March 2018

KNIME is a powerhouse for all types of analysis, including machine learning.

We were able to build a reproducible workflow for analyzing our data and creating actionable insights.

Pros

KNIME desktop is a powerful tool for building analytical workflows. The visual interface is extremely helpful. They also have extensions to integrate other tools like R and Python into the workflows. Best of all you can share your workflows with others - great for reproducible research. There are built in tools for many types of supervised and unsupervised machine learning. The desktop application is free and open source. The support community on the KNIME website is very active and responsive. To extend the features you can purchase KNIME server.

Cons

Like any new tool there is a learning curve. However, they have lots of videos, examples and an active support community. There are some features that are not intuitive, such as how to use flow variables. In general I have found that I use R much less now and do most of my analysis in KNIME. KNIME is primary drag and drop and requires little to no coding.

March 2019

Anonymous

Verified Reviewer

Company Size: 10,000+ employees

Time Used: Less than 6 months

Review Source: Capterra


Ease-of-use

3.0

Functionality

5.0

March 2019

Knime to process data

Knime has turned manual tasks in easy and fast ones just pressing a button to run multiple commands on a excel file for example. Very useful tool to automate and reduce task time.

Pros

Knime is very useful to analyze large data quantities with advanced algorithms and code without the need to program because you use block modules that do a specific task and you put program graphically the data processing you want to do connecting this blocks to other in a specific order. You don't need to be a data scientist or engineer to use it is useful in HR and Finance sector to automate manual processes. You can directly input an excel file or database. The software is free but you may purchase a server license to have a process run automatically with large amounts of data from many sources. You can also program if needed and add external blocks to the software.

Cons

You actually need more help than provided by block description if you want to do complex data analysys tasks, if you want advanced data analysis and classification you do need to have software engineering knowledge, you can only run a workflow if you have it in the knime folder not any other location of your computer. Knime can take time to initialize if you have many modules installed so install only the ones you need if not it may take 5 minutes or more to open in a regular computer.

February 2019

Ashutosh from Agronxt services

Verified Reviewer

Company Size: 2-10 employees

Industry: Information Services

Time Used: Less than 2 years

Review Source: Capterra


Ease-of-use

5.0

Value for money

5.0

Customer support

5.0

Functionality

5.0

February 2019

Used for ETL

Pros

great software for modelling any data job - its easy to work with

Cons

the UI is a bit clunky - there is scope for making it more modern and easy

March 2019

Abhishek from ZS Associates

Verified Reviewer

Company Size: 1,001-5,000 employees

Industry: Management Consulting

Review Source: Capterra


Ease-of-use

4.0

Functionality

5.0

March 2019

B2B Analytics Software

Pros

a) As an ETL tool, It is feasible with the other database and accounting each and every logs. b) It collects, reformat and upload the data sources in a proper structured format. c) The UI is simple to understand even if the person is not familiar with the analytics then also she/he could understand the functions. d) It can be integrated with software like Phython and R softwares.

Cons

a) I have tried to integrate knime with the Jupiter notebooks but that was failed.

July 2018

Anonymous

Verified Reviewer

Time Used: Less than 6 months

Review Source: Capterra


Ease-of-use

5.0

Value for money

5.0

Customer support

5.0

Functionality

5.0

July 2018

Great machine learning platform especially for non-programmer data scientists

Pros

KNIME allows you to focus on the data science and not the programming to get there. The point and click solution is easy to use.

Cons

There are many options and in-app support/help/guidance would make this tool even more user-friendly so that the data science team can focus on data tasks.

August 2018

Adiman from Malaysian Communications and Multimedia Commission

Verified Reviewer

Company Size: 1,001-5,000 employees

Industry: Telecommunications

Time Used: Less than 12 months

Review Source: Capterra


Ease-of-use

5.0

Value for money

5.0

Functionality

5.0

August 2018

KNIME for predictive analytics

Performed data mining and predictive analytics on this software. Its easy to master and customer support is good.

Pros

Doesn't require coding, programming skills to perform data mining.

Cons

Visualization capability may not appeal to some.