What are KNIME Analytics Platform users saying about the software?

Read what people like you have said about using KNIME Analytics Platform software through verified user reviews

User Review Highlights

4.58

19 Reviews

5
11
4
8
3
0
2
0
1
0
4.5

Ease-of-use

out of 5
4

Customer Support

out of 5
4.5

Value for money

out of 5
4.5

Functionality

out of 5
  • icon"The software is specially useful when you need to explain these models in a stepwise manner to team members who do not possess the technical expertise in programming."
  • icon"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."
  • icon"The support community on the KNIME website is very active and responsive. To extend the features you can purchase KNIME server."
  • icon"In the field of geospatial data analysis, KNIME lags as there are no specialized modules for it, otherwise it gets the work done."
  • icon"That is not to say that the documentation is poor, you will probably find a fix to most, if not all problems that you face through some searching."
  • icon"I struggled a bit at the beginning and the only course I saw from Knime was expensive."

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Showing 1 - 19 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.

Santiago

Company size: 10,000+ employees

Industry: Furniture

Time used: More than 2 years

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

Functionality

out of 5

July 2021

A tool for citizen developers, from automation to data science

Pros

The only tool that we were able to implement for non-technical user adoption. The easy drag and drop flow interface enables our coworkers to develop their own solutions. In terms of functionality it is a real Swiss knife for data processing: Extract information from excel, databases, ERPs, websites. Transform and create any desired output: automatic emails, excels, databases, reports. Python is still available for more advanced functionality.

Cons

It is a big memory consuming program. By default tables are stored in memory and to fine-tweak that there's only an .ini file. Nodes that try to auto-guess column types often get it wrong with multiple files, there is a workaround that by creating a more complex workflow.

Meliksah

Company size: 5,001-10,000 employees

Industry: Consumer Electronics

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
4

Value for money

out of 5
4

Customer support

out of 5
4

Functionality

out of 5

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.

Javvad

Company size: 501-1,000 employees

Industry: Telecommunications

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.
4

Ease-of-use

out of 5
4

Value for money

out of 5
2

Customer support

out of 5
4

Functionality

out of 5

February 2021

KNIME for data analytics

Overall KNIME is a solid ETL tool which can automate most of the daily workflows.

Pros

The interface is user friendly, the modules are categorized and available for drag and drop on the workflow. Due to this, any complex workflow can be created. Like getting data from a DB, cleansing it, filtering it, blending it with another data source and reporting it is just a breeze in KNIME. Any changes required can be done on a specific module without the need to start from scratch.

Cons

In the field of geospatial data analysis, KNIME lags as there are no specialized modules for it, otherwise it gets the work done.

Reasons for switching to KNIME Analytics Platform

Price

Stephen

Company size: 201-500 employees

Industry: Non-Profit Organization Management

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.
4

Ease-of-use

out of 5
5

Value for money

out of 5
5

Customer support

out of 5
4

Functionality

out of 5

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.

User Profile

Ivan

Verified reviewer

Company size: 10,000+ employees

Industry: Pharmaceuticals

Time used: Less than 2 years

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
4

Value for money

out of 5
3

Customer support

out of 5
5

Functionality

out of 5

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.

Anonymous

Company size: 11-50 employees

Time used: Less than 6 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
4

Functionality

out of 5

March 2021

Data Analytics and Machine Learning models with a simple graphical interface

I developed a model and determined its R square using KNIME to explain my model in a stepwise fashion for a presentation.

Pros

The graphical interface allows simple drag and drop of objects to process the data. With knowledge of statistics, data science and artificial intelligence, you can implement basic and complex data pipelines. The software is specially useful when you need to explain these models in a stepwise manner to team members who do not possess the technical expertise in programming.

Cons

I believe it can sometimes be difficult to debug since it is not documented the same way as python or R studio. That is not to say that the documentation is poor, you will probably find a fix to most, if not all problems that you face through some searching.

Anonymous

Company size: 10,000+ employees

Time used: Less than 6 months

Review Source: Capterra

This review was submitted organically. No incentive was offered
3

Ease-of-use

out of 5
5

Functionality

out of 5

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.

Ashutosh

Company size: 2-10 employees

Industry: Information Services

Time used: Less than 2 years

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

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

Anonymous

Company size: 1 employee

Time used: More than 2 years

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
3

Customer support

out of 5
4

Functionality

out of 5

October 2021

Great open source product for data science starters

I love KNIME and use is often to teach data-science to my students.

Pros

It's easy and intuitive. Perfect for beginners to learn the steps and concepts of data-science.

Cons

It cannot deal with big data. Every time I tried to analyse a large data, it crashed. So, it makes me feel that it's meant for smaller size of data.

User Profile

Abhishek

Verified reviewer

Company size: 1,001-5,000 employees

Industry: Management Consulting

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

Functionality

out of 5

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.

Adiman

Company size: 1,001-5,000 employees

Industry: Telecommunications

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

Functionality

out of 5

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.

Fabio

Company size: 10,000+ employees

Industry: International Trade and Development

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
5

Customer support

out of 5
5

Functionality

out of 5

July 2020

Knime - best software to manipulate data before analyzing

Knime has given me the speed I need to do my work faster!

Pros

I like Knime because you can use no programming language (only the nodes) to retrieve the information you need.

Cons

I think Knime doesn't have a platform to learn so well. I struggled a bit at the beginning and the only course I saw from Knime was expensive.

Anonymous

Time used: Less than 6 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

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.

Barbara

Company size: 10,000+ employees

Industry: Market Research

Time used: Less than 6 months

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

Customer support

out of 5
4

Functionality

out of 5

July 2020

Knime - great tool for organizing data

It is a great program that it'll save you loads of time.

Pros

I really enjoy how easy is to transform data from multiple softwares (such as excel, SQL, etc) and manipulate on Knime.

Cons

Not user friendly for beginners, there is no clear path for learning the tool. However, as long as you start using it becomes easier.

Showing 1 - 19 of 19 reviews
KNIME Analytics Platform

KNIME Analytics Platform

4.58/5 out of 19 reviews