We performed a comparison between Alteryx and KNIME based on our users’ reviews in four categories. After reading all of the collected data, you can find our conclusion below.
Comparison Results: Although KNIME’s open-source version is flexible and cost-effective and their service is top-notch, Alteryx offers an extremely intuitive intelligence suite and overall the solution is very robust and modern and the GUI is very user friendly. Ultimately, Alteryx finishes ahead of KNIME on most occasions.
"The initial setup is easy."
"All of the data science features in terms of unioning and joining data together are valuable."
"The most valuable feature of Alteryx is its unlimited handling capabilities."
"The most valuable feature of Alteryx is the intelligence suite."
"The filtering is fast, and it provides a search tool that is great."
"The cloud deployment ensures it scales easily."
"You get more support with Alteryx, and it's good for non-sophisticated users who can benefit from the support included in the price."
"Its initial setup is easy."
"It's a very powerful and simple tool to use."
"Easy to use, stable, and powerful."
"KNIME is fast and the visualization provides a lot of clarity. It clarifies your thinking because you can see what's going on with your data."
"The most valuable features of KNIME are its ability to convert your sub-workflow into a node. For example, the workflow has many individual native nodes that can be converted into a single node. This representation has simplified my workflow to a great extent. I can present my workflow in a very compact way."
"It also has very good fundamental machine learning. It has decision trees, linear regression, and neural nets. It has a lot of text mining facilities as well. It's fairly fully-featured."
"One of the greatest advantages of KNIME is that it can be used by those without any coding experience. those with no coding background can use it."
"Automation is most valuable. It allows me to automatically download information from different sources, and once I create a workflow, I can apply it anytime I want. So, there is efficiency at the same time."
"We have found KNIME valuable when it comes to its visualization."
"The only weakness I would say is on the visualization side of having that dynamic incapability."
"The technical support could have a little bit of improvement."
"Even when it already includes some AI models, this area could be improved."
"The solution is improving continuously. They have, for example, just added automatic insights. If they continue to improve on their overall service offering, that would be ideal."
"The price of the solution could improve by being lower."
"A colleague of mind mentioned that the solution should have more options for the visualization of data."
"Lacks an open source edition which would be helpful."
"I think they should really work on integrating or have a capacity to integrate some algorithmic code. I think that's one of the most important things they need to be doing."
"It's difficult to provide input on the improvement area because it's more of self-learning. However, there are times when I am not able to do certain things. I don't know if it's because the solution doesn't allow me or if it's because of the lack of knowledge."
"There are some parameters that I would like to have at a bigger scale. The upper limit of one node that tries to find spots or areas in photos was too small for us. It would need to be bigger."
"Both RapidMiner and KNIME should be made easier to use in the field of deep learning."
"It could be easier to use."
"KNIME's licensing and data management aren't as straightforward relative to Alteryx. Alteryx's tools are more sophisticated, so you need fewer to use it compared to KNIME. I think tab implementation could be easier, too."
"I would prefer to have more connectivity."
"KNIME is not scalable."
"KNIME could improve when it comes to large data markets."
Alteryx can be used to speed up or automate your business processes and enables geospatial and predictive solutions. Its platform helps organizations answer business questions quickly and efficiently, and can be used as a major building block in a digital transformation or automation initiative. With Alteryx, you can build processes in a more efficient, repeatable, and less error-prone way. Unlike other tools, Alteryx is easy to use without an IT background. The platform is very robust and can be used in virtually any industry or functional area.
With Alteryx You Can:
Alteryx Features Include:
Some of the most valuable Alteryx features include:
Scalability, stability, flexibility, fast performance, no-code analytics, data processing, business logic wrapping, scheduling, ease of use, data blending from different platforms, geo-referencing, good customization capabilities, drag and drop functionality, intuitive user interface, connectors, machine learning, macros, simple GUI, integration with Python, good data transformation, good documentation, multiple database merging, and easy deployment.
Alteryx Can Be Used For:
Some of the benefits of using Alteryx include
Reviews from Real Users
"Automation is the most valuable aspect for us. The ability to wrap business logic around the data is very helpful." - Theresa M., Senior Capacity Planner at a financial services firm
"Alteryx has made us more agile and increased the speed and effectiveness of decision making." - Richard F., Director, Digital Experience & Media at Qdoba Restaurant Corporation
"The scheduling feature for the automation is excellent." - Data Analytics Engineer at a tech services company
"The product is very stable and super fast, five-star. It's significantly more stable than its nearest competitor." - Director at a non-tech company
“A complete solution with very good user experience and a nice user interface.” - Solutions Consultant at a tech services company
"There are a lot of good customization capabilities." - Advance Analytics PO at a pharma/biotech company
KNIME is an open-source analytics software used for creating data science that is built on a GUI based workflow, eliminating the need to know code. The solution has an inherent modular workflow approach that documents and stores the analysis process in the same order it was conceived and implemented, while ensuring that intermediate results are always available.
KNIME supports Windows, Linux, and Mac operating systems and is suitable for enterprises of all different sizes. With KNIME, you can perform functions ranging from basic I/O to data manipulations, transformations and data mining. It consolidates all the functions of the entire process into a single workflow. The solution covers all main data wrangling and machine learning techniques, and is based on visual programming.
KNIME has many valuable key features. Some of the most useful ones include:
There are many benefits to implementing KNIME. Some of the biggest advantages the solution offers include:
Reviews from Real Users
Below are some reviews and helpful feedback written by PeerSpot users currently using the KNIME solution.
Benedikt S., CEO at SMH - Schwaiger Management Holding GmbH, explains, “All of the features related to the ETL are fantastic. That includes the connectors to other programs, databases, and the meta node function. Technical support has been extremely responsive so far. The solution has a very strong and supportive community that shares information and helps each other troubleshoot. The solution is very stable. The initial setup is pretty simple and straightforward.”
Piotr Ś., Test Engineer at ProData Consult, says, “What I like the most is that it works almost out of the box with Random Forest and other Forest nodes.”
Alteryx is ranked 2nd in Data Science Platforms with 32 reviews while KNIME is ranked 4th in Data Science Platforms with 16 reviews. Alteryx is rated 8.4, while KNIME is rated 8.0. The top reviewer of Alteryx writes "Plenty of capability and works well for those who don't want to program and don't use algorithms heavily". On the other hand, the top reviewer of KNIME writes "Allows you to easily tidy up your data, make lots of changes internally, and has good machine learning". Alteryx is most compared with Databricks, Dataiku Data Science Studio, SAS Enterprise Guide, RapidMiner and Qlik Sense, whereas KNIME is most compared with Microsoft BI, RapidMiner, Weka, Microsoft Azure Machine Learning Studio and Dataiku Data Science Studio. See our Alteryx vs. KNIME report.
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