KNIME Software Reviews & Product Details

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 is an excellent software for creating and testing machine learning models using blocks that contain implementations of algorithms used for a wide range of problems such as classification, regression, and 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 large number of tasks with the software, covering the processing of the information all the way down. Review collected by and hosted on G2.com.

Some of the options are not exactly what I used to need to process the information. The fluxes have (in 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.