KNIME Analytics Platform Reviews & Product Details

It is a tool from start to finish from file management, through statistics, machine learning, deep learning, selenium rpa, artificial intelligence, process automation, databases and ETL, integration with Python and R, advanced analysis, teamwork, parallelization, real big data; great Review collected by and hosted on G2.com.

nothing , is a good tool, the ability to process video in real time Review collected by and hosted on G2.com.

Great tool for predictive analytics. The examples provided with the software are a great way to learn this tool by your self. Review collected by and hosted on G2.com.

It is really difficult to prepare and clean data. Review collected by and hosted on G2.com.

The program offers workflow checks, statistical and mathematical functions, algorithms for machine learning and sophisticated prediction algorithms. KNIME is extremely helpful in evaluating big quantities of information with sophisticated algorithms and codes without programming, since it utilizes block modules to accomplish graphical jobs. It is able to put the data processing to which you want to link your data in a certain order with others. Review collected by and hosted on G2.com.

Sometimes, I feel the UI is crowded, so it gets confusing to work on it. The language used in KNIME is simpler, but I generally find myself using R much less than usual, which is not good as I end up forgetting some basic coding skills. Another thing that I don't like is that it uses a bunch of memory on your desktop, which impacts the machine's general efficiency. Review collected by and hosted on G2.com.

KNIME's UI requires no programming skills, as you can just use the “drag and drop” without losing the flexibility in programming languages, since Python and R have nodes too. It also provides sturdy add-ons to promote integrations for data mining and time series analysis techniques. KNIME offers a wide variety of dynamic processes and supports several web reports. Also, the application for the desktop is open and free of charge. Review collected by and hosted on G2.com.

KNIME Analytics usually takes a while to initialize if you have several modules installed, so install only the ones you need at certain time, otherwise opening it on desktop may take more than 5 minutes. Also, KNIME does not integrate with a large list of software. Another thing are error messages, that sometimes are shown while jobs are being done, which interrupts my work. Review collected by and hosted on G2.com.

KNIME desktop is a powerful tool to create analytical workflows and is extremely helpful for the visual interface. It comes with multiple extensions which simplify text processing, which is a very hard to do on other similar platforms. To use this information in the IT department for manual processes, you do not need to be a data specialist. Also, in order to expand the features, you can purchase the KNIME server in the support community on KNIME's website. Review collected by and hosted on G2.com.

This is a software that is very complex and will take a while to learn. But they have many videos and examples, as well as a community of active support. Also, sometimes it can run slower when there are several nodes and extensions installed. Review collected by and hosted on G2.com.

KNIME Analytics gives me the power to control exactly what happens to my data all the time, so I always take the best decisions when it comes to the management of my data and the results obtained from the analytics. It supports modern process, such as machine learning and the addition of external blocks, making it possible in a simple anD fast way. Review collected by and hosted on G2.com.

If you have never used a similar tool, KNIME may seem very hard to understand, so it will take a couple of months to learn. Also, when it comes to the community that provides support, most of them are not native english speakers, so it's hard to get in the same page when you're trying to reach for help. Review collected by and hosted on G2.com.

KNIME's UI is very helpful that it really helps to make it look visually simply. I know a lot about coding, but some of my co-workers only have basic knowledge, and they still use KNIME with no problem, as it's not necessary to code if you want to perform data mining, and you can even obtain a graphic of the data being processed. On the other hand, if you know how to code and you're familiar with Python language, you can add new and functions to your analytical model in order to simplify your work. Review collected by and hosted on G2.com.

KNIME is a very hard software that's complex even for programmers and coders. However, you can find videos and documents online, created by the same community, that will guide you through the platform. Also, visualization is not good enough. I think it can improve in order to make it more visually comprehensive. Review collected by and hosted on G2.com.

The best part about KNIME is that it is free of cost so if you are a beginner and you want to learn about how analytics tools work then this is probably the best tool to start with Review collected by and hosted on G2.com.

As it is an open source software so you might not get all the cool features you have in alteryx and other paid analytics tool. Review collected by and hosted on G2.com.

KNIME Analytics is a powerful tool for building analytical workflows. It provides many options for text parsing, especially CoreNLP and OpenNLP. Also, KNIME Analytics allows integration with open source software, such as R, Phyton and Spark. 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. There are built in tools for many types of supervised and unsupervised machine learning. Review collected by and hosted on G2.com.

KNIME Analytics is a very complex tool, so it has a steep learning curve. Another thing I don’t like about it is that it tends to use a lot of memory of your computer, which affects the general performance of the machine. KNIME Analytics is primary drag and drop and requires little to no coding. Review collected by and hosted on G2.com.

KNIME Analytics is very useful to analyze large data quantities with advanced algorithms. Also, you are able to code without programming because can use block modules that do a specific tasks. It comes with several extensions that make text processing an easy process, something that’s a headache in other similar platforms, and with extensions to integrate other tools, like R, into the workflows. Use and integrate with cloud and big data environments. Review collected by and hosted on G2.com.

You actually need more help than provided by block description if you want to do complex data analysis work. The user of KNIME Analytics needs to have a deep knowledge about R/Phyton in order to get the best out of the statistical analysis. If you want to do advanced data analysis and classification, it's mandatory to have engineering knowledge. There are some features that are not intuitive, such as how to use flow variables. Review collected by and hosted on G2.com.

When we had to go through data sources with tons of data, transforming the raw data for analysis was always the hardest part. With KNIME, this process can be automated, while the data acquisition model can be saved and run repeatedly, which saves a lot of time. It also provides a wide range of options for integration, allowing multiple languages like Python, R or Java and supporting formats like JSON and XML. What I like is that I can process large quantities of data while data cleansing and blending of tables can still be done very easily. Review collected by and hosted on G2.com.

KNIME Documentation is poor, so it’s hard to find serious ans straightforward information out there. If you have any doubt, you may find yourself struggling to find a solution. Also, some tools for script writing and development are not easy to use, so you have to run tests to see how they perform, or some of them don't have enough features. Review collected by and hosted on G2.com.

The program offers a vast amount of optionality for being able to create data science/analytics models without writing any code. It's very quick and easy to use. Review collected by and hosted on G2.com.

It can be difficult to find certain functionalities within the program. Additionally, it does struggle with larger datasets and seem to choke Review collected by and hosted on G2.com.

Knime è un ottimo software per creare e testare modelli di machine learning utilizzando blocchi che contengono implementazioni di algoritmi utilizzati per i più disparati problemi come classificazione, regressione e clustering. Review collected by and hosted on G2.com.

There is nothing negative about this software. I found it very good to use it. Review collected by and hosted on G2.com.

Very useful for analyzing large data sets. It's very easy to use but still very powerful for creating detailed charts. Review collected by and hosted on G2.com.

If you are not familiar with R or python this tool will be very difficult to use. It may be nice to have some additional UI to supplement users without this experience Review collected by and hosted on G2.com.

Ease of use, variety of nodes and functions, its integrity with Cloud platforms, possibility to implement Python, R, Java scripts. Its good that you can see the model visually, as doing ETL. That's a big plus compared to other tools and scripting. Review collected by and hosted on G2.com.

Its already slow as cost of friendly UI and becomes even slower as you install extensions. Not to mention opening the software takes a lot of time too. Review collected by and hosted on G2.com.

The capability to design a big amount of tasks with the software, covering the proccessing of the information all way down. Review collected by and hosted on G2.com.

Some of the options are not exactly what i used to need to proccess the information. The fluxes have (on a certain way) a limited amount of configuration options. Review collected by and hosted on G2.com.

It's really great to have an easy to use GUI, compared to other open sourced applications that utilize the same data Review collected by and hosted on G2.com.

Certain API functionality still needs to be improved, primarily image mining plugins Review collected by and hosted on G2.com.

It’s capabilities to quickly sourcing data , preparing it and making it analytical rrasy Review collected by and hosted on G2.com.

It’s not scaled for larger data sets. It slows down or sometimes even crash. Also it won’t integrate with all the database providers Review collected by and hosted on G2.com.

KNIME offers a delightful blend of power and ease-of-use. It uses a workflow (flowchart) interface. It offers you a collection of icons that represent steps in your analysis. You position each icon in a diagram and connect them with arrows that represent the flow of data or models from step to step. Double-clicking on an icon will open a dialog box allowing you to set the parameters of how that step should run.

You can document the workflow by clearly labeling each step, and by color coding entire sections of the diagram. As a result, you can look at another person's analysis and quickly get the big picture of what was done. If a diagram gets too complex, you can select a whole section of it and collapse it into a "metanode" so that one icon then represents all the steps. It's also easy to rerun an analysis on new data by simply changing the node(s) that read in data. Note that KNIME does not have a scripting language, nor does it need one.

I particularly like the company's view of open source software. The full desktop version of KNIME is free and open source, regardless of how much data you have. Its closest competitor price-wise is RapidMiner, which is free only if you have fewer than 10,000 cases. KNIME also offers excellent integration with a wide range of other open source software such as: Python, R, Spark, and even ImageJ for image analysis.

The server version of KNIME has a commercial license, i.e. not free. The company also sells software to let work groups share node libraries. For example, if I develop a new node in, say, R, and email it to everyone, then when I improve it, I'll have to email it again. Everyone using it would have to edit their work flows, but at least that's a free solution. However, if we purchase the collaboration extensions, I would make a change to the shared node, and everyone's work would be updated automatically. I appreciate having so much control over what to spend on a KNIME solution. Review collected by and hosted on G2.com.

For data mining or machine learning tasks, it's quite comprehensive, very similar to what RapidMiner, SAS Enterprise Miner, or SPSS Modeler can do. However, compared to a full statistics package such as R, SAS, SPSS, or Stata, it's lacking quite a few statistical methods.

You would have to lean on R or Python if you need statistical analysis rather than data mining. Each new version of KNIME adds more statistics, but it looks like it will be quite a while before they can offer full statistical capabilities. Unfortunately, no one tool offers comprehensive data mining, statistical modeling, and ease-of-use. In the ratings section, I'm giving it full marks as a data mining / machine learning tool. Review collected by and hosted on G2.com.

- Data wrangling is easily manageable

- Clear cut motions for running different models and exporting results

- Lots of different applications

- Drag and drop functionality rocks Review collected by and hosted on G2.com.

- R function is hard to bring in

- Data / findings output formatting needs to be updated for presentations Review collected by and hosted on G2.com.

Drag and drop analysis helps faster and effective analysis flow. Graphical user interface makes it easy to plan processes and organize projects. You can work together with teams at the same time. Review collected by and hosted on G2.com.

Lack of technical support in the free version. Costing needs to be more economical. Review collected by and hosted on G2.com.

The best thing of Knime is it is open source and simple GUI based platform which makes it very easy to learn and implement. Review collected by and hosted on G2.com.

Although the GUI feature makes it very easy to implement simple models, however on the downside it is hard to build complicated models sometimes. Review collected by and hosted on G2.com.

The data mining options, in particular the features for analysis using clustering (k-medoids, k-means, hierarchical, etc.) are extremely handy. They remove a lot of middle-man coding! Review collected by and hosted on G2.com.

I would appreciate more visualization and exporting capabilities. For instance, the ability to easily visualize the clusters produced with k-medoids, with medoids labeled. Review collected by and hosted on G2.com.

Knime is used for data cleaning, data manipulation and predictive modeling. We do have a lot of softwares for playing around data but everything comes with a price except knime. So, it’s a free platform to manage the data. Review collected by and hosted on G2.com.

The only thing that I don’t like in knime software is its interface, it’s kind of old. Review collected by and hosted on G2.com.

It has a simple interface and not hard to learn it with very clear block diagram design for each block By the way, it's easy to debug and has very direct set for each block. You can also set up for the block diagram the way you like and rearrange it anytime you want. Review collected by and hosted on G2.com.

hard to import new function if want to add a new block. and it will become very slow when the database coming over 10 thousand Review collected by and hosted on G2.com.