KNIME Valuable Features

reviewer461148
Partner, Turkey and The Netherlands at a tech vendor with 201-500 employees
* Easy ETL operations * Rich algorithm set * Integrated with other languages like R, Python, and Java. * Works together with other technologies like DeepLearning4j, H2O.ai, D3.js, and Weka. * Ease of use and being a performant solution. * Continues development and wide community support View full review »
Agus Kurdiyanto
Solution Integrator at a comms service provider with 11-50 employees
Most important, it is open-source. Next is the ETL which helps me to collect, reformat, and load the data from multiple sources into one destination, a storage database. View full review »
Dusty Evely
Business Analyst at a tech services company with 201-500 employees
I know I don't use it to its full capacity, but I love the Rule Engine feature. It has allowed me to create lookup tables on the fly and break down text fields into quantifiable data. View full review »
Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining. Updated: August 2019.
366,090 professionals have used our research since 2012.
Giovanni Marano
Senior Data Scientist
* Easy to connect with every database: We use queries from SQL, Redshift, Oracle. * Easy to have a clear view of the data at every single step of the ETL process, with the consequent possibility of changing the flow according to your needs. View full review »
Wim Michielsen
Data Science Consultant
* The very easy-to-use visual interface * Help functions and clear explanations of the functionalities and the used algorithms * Data Wrangling and data manipulation functionalities are certainly sufficient, as well as the looping possibilities which help you to automate parts of the analysis For inexperienced analysts or data scientists, it is a very easy tool to take your first steps in modeling and analytics. View full review »
Hilton Rossenrode
Business Analyst at a retailer with 501-1,000 employees
* Visual workflow creation * Workflow variables (parameterisation) * Automatic caching of all intermediate data sets in the workflow * Scheduling with the server View full review »
Ling Li
Intern at a energy/utilities company with 10,001+ employees
It provides very fast problem solving and I don't need to do much coding in it. I just drag and drop. View full review »
Evans Otalor
Business Intelligence Manager at Telecoms
Easy to use nodes for ETL processes. This is because, in many cases, I usually transform the data before the main task even when the data is from a structured database. View full review »
Prithviraj Dutta
Data Scientist at a tech services company with 1,001-5,000 employees
The most useful features are the readily available extensions that speed up the work. For instance, KNIME offers multiple document taggers, which one can use with relative ease. Similarly, the number of predefined NER taggers are also very handy. View full review »
Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining. Updated: August 2019.
366,090 professionals have used our research since 2012.
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