All KNIME Analytics Platform Reviews
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Rochelle
Verified reviewer
Information Technology and Services, 10,000+ employees
Used daily for less than 12 months
OVERALL RATING:
5
EASE OF USE
5
FUNCTIONALITY
5
Reviewed January 2023
Well created open source for data analysis!
One of the pros is of course doesn't require license fee. It is also an open source that can connect to Python and R that is capable of customization. Need to mention also the good community support.
CONSIt took time to understand the functionalities and familiarize the user interface.
Reasons for switching to KNIME Analytics Platform
less of worth but same functionalities
Ferhat
Information Technology and Services, 5,001-10,000 employees
Used daily for more than 2 years
OVERALL RATING:
4
EASE OF USE
5
VALUE FOR MONEY
3
CUSTOMER SUPPORT
3
FUNCTIONALITY
3
Reviewed 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
Reason 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
5,001-10,000 employees
Used weekly for less than 12 months
OVERALL RATING:
4
EASE OF USE
3
VALUE FOR MONEY
5
CUSTOMER SUPPORT
2
FUNCTIONALITY
4
Reviewed 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.
PROSThere 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.
CONSPulling 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.
Reason for choosing KNIME Analytics Platform
In the end, we moved away from KNIME and chose Alteryx.
Sasha
Information Technology and Services, 5,001-10,000 employees
Used weekly for less than 2 years
OVERALL RATING:
5
EASE OF USE
4
FUNCTIONALITY
5
Reviewed January 2024
Using KNIME for reporting
Good and would recommend to non technical professionals as well
PROSKNIME allowed me to pull data from large google sheets and manipulate them in a clear and easy way. The visual representation of each node makes it really easy to use and understand even for people without a background in data analytics. The KNIME website also provides a lot of resources on using the platform
CONSVery large google sheets containing a lot of data cannot always be extracted due to the size.
Anonymous
51-200 employees
OVERALL RATING:
5
EASE OF USE
4
VALUE FOR MONEY
5
FUNCTIONALITY
4
Reviewed 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.
PROSSome 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.
CONSOf 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.
Reason 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
Furniture, 10,000+ employees
Used daily for more than 2 years
OVERALL RATING:
5
EASE OF USE
5
VALUE FOR MONEY
5
FUNCTIONALITY
5
Reviewed July 2021
A tool for citizen developers, from automation to data science
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.
CONSIt 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
Consumer Electronics, 5,001-10,000 employees
Used daily for more than 2 years
OVERALL RATING:
4
EASE OF USE
5
VALUE FOR MONEY
4
CUSTOMER SUPPORT
4
FUNCTIONALITY
4
Reviewed 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.
PROSThere 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.
CONSIts 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.
Stephen
Non-Profit Organization Management, 201-500 employees
Used daily for less than 12 months
OVERALL RATING:
5
EASE OF USE
4
VALUE FOR MONEY
5
CUSTOMER SUPPORT
5
FUNCTIONALITY
4
Reviewed 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.
PROSKNIME 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.
CONSLike 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.
Ivan
Verified reviewer
Pharmaceuticals, 10,000+ employees
Used daily for less than 2 years
OVERALL RATING:
4
EASE OF USE
4
VALUE FOR MONEY
4
CUSTOMER SUPPORT
3
FUNCTIONALITY
5
Reviewed March 2020
Visualized pipeline for Data Scientist
It is a good tool for small business owners, but it lacks the scalability for larger audiences.
PROSIt 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
CONSThe UI is a little laggy and files can get excessively large, run time and speed is also slow when integrating with other scripting languages.
Yashoda
Verified reviewer
Program Development, 1 employee
Used daily for less than 12 months
OVERALL RATING:
5
EASE OF USE
5
VALUE FOR MONEY
5
CUSTOMER SUPPORT
5
FUNCTIONALITY
5
Reviewed 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.
PROSThis software gives most accurate answers and it has more sensitivity & most of values have precision.
CONSsometimes error messages displaying while works are in progress
Donata
Pharmaceuticals, 1,001-5,000 employees
Used daily for more than 2 years
OVERALL RATING:
4
EASE OF USE
5
FUNCTIONALITY
5
Reviewed November 2023
Un infinità di moduli per molteplici assi di analisi
Utilizzo KNIME per eseguire analisi multivariate ed identificare relazioni dirette tra variabili. È un software scalabile intuitivo e si è integrato bene con i processi aziendali presenti nel passato. Permette, a me ed ai miei colleghi più junior, si sviluppare algoritmi complessi senza usare codice. di sviluppare
PROSKNIME non richiede skills di programmazione è possibile lavorare con il drag in drop non perdendo la flessibilità del coding in quanto ci sono nodi in cui è possibile scrivere in Python oppure R. Sono presenti add-on per promuovere l’integrazione tra il data mining e l’analisi di serie di dati. KNIME offre un ampia gamma di processi ed il supporto a diversi web reports.
CONSNel momento in cui i moduli installati diventano molti il lancio del programma richiede minuti. Le integrazioni con altri software sono poche. I messaggi di errore mentre si sta svolgendo il processo lo interrompono.
Elena
Management Consulting, 5,001-10,000 employees
Used daily for less than 2 years
OVERALL RATING:
4
EASE OF USE
5
VALUE FOR MONEY
5
CUSTOMER SUPPORT
4
FUNCTIONALITY
3
Reviewed December 2023
Semplice da comprendere ed utilizzare
Utilizzo Knime per analizzare in modo aggregato dati di diversi clienti e produrre analisi benchmark. Nel complesso sono soddisfatta del prodotto vista la sua facilità d’uso e la sua flessibilità.
PROSIl drag & drop rende la piattaforma facile da usare. Mi piace anche il fatto che il sistema sia leggero, veloce e che indichi lo stato di ogni step. Apprezzo la sua estrema flessibilità, che permette di sperimentare.
CONSLe modalità di condivisioni delle analisi presentano parecchie restrizioni, sarebbe necessario aggiungere più opzioni.
Javvad
Telecommunications, 501-1,000 employees
Used daily for less than 12 months
OVERALL RATING:
5
EASE OF USE
4
VALUE FOR MONEY
4
CUSTOMER SUPPORT
2
FUNCTIONALITY
4
Reviewed February 2021
KNIME for data analytics
Overall KNIME is a solid ETL tool which can automate most of the daily workflows.
PROSThe 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.
CONSIn 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
U¿ur Deniz
Verified reviewer
Research, 10,000+ employees
Used weekly for less than 2 years
OVERALL RATING:
5
EASE OF USE
5
FUNCTIONALITY
4
Reviewed August 2022
No need to write code
After installing the systems, I just press the "Run" button. A suitable environment to teach machine learning to a beginner.
PROSI like Knime's metanodes the most. I use this feature often. I can add my Python scripts to the stream. Machine learning processes are easy, practical and successful. Knime's performance is fine. Instinctive.
CONSPython betikleri bazen sorunlu olabilir. Knime'da zaman aldığı için Python ile Data Preprocessing yapıyorum.
Debarpan
Marketing and Advertising, 501-1,000 employees
Used weekly for less than 6 months
OVERALL RATING:
5
EASE OF USE
5
VALUE FOR MONEY
5
CUSTOMER SUPPORT
5
FUNCTIONALITY
5
Reviewed 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.
PROSTotally 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
CONSReporting 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
1 employee
Used monthly for more than 2 years
OVERALL RATING:
4
EASE OF USE
4
VALUE FOR MONEY
5
CUSTOMER SUPPORT
3
FUNCTIONALITY
4
Reviewed October 2021
Great open source product for data science starters
I love KNIME and use is often to teach data-science to my students.
PROSIt's easy and intuitive. Perfect for beginners to learn the steps and concepts of data-science.
CONSIt 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.