We performed a comparison between Anaconda and KNIME based on real PeerSpot user reviews.
Find out in this report how the two Data Science Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The virtual environment is very good."
"It helped us find find the optimal area for where our warehouse should be located."
"The most advantageous feature is the logic building."
"The documentation is excellent and the solution has a very large and active community that supports it."
"The most valuable feature is the set of libraries that are used to support the functionality that we require."
"The tool's most valuable feature is its cloud-based nature, allowing accessibility from anywhere. Additionally, using Jupyter Notebook makes it easy to handle bugs and errors."
"The solution is stable."
"With Anaconda Navigator, we have been able to use multiple IDEs such as JupyterLab, Jupyter Notebook, Spyder, Visual Studio Code, and RStudio in one place. The platform-agnostic package manager, "Conda", makes life easy when it comes to managing and installing packages."
"KNIME is quite scalable, which is one of the most important features that we found."
"I was able to apply basic algorithms through just dragging and dropping."
"We can deploy the solution in a cluster as well."
"The visual workflow tools for custom and complex tasks always beat raw coding languages with the agility, speed to deliver, and ease of subsequent changes."
"Since KNIME is a no-code platform, it is easy to work with."
"There are a lot of connectors available in KNIME."
"I've never had any problems with stability."
"From a user-friendliness perspective, it's a great tool."
"It crashes once in a while. In case of a reboot or something unexpected, the unseen code part will get diminished, and it relatively takes longer than other applications when a reboot is happening. They can improve in these areas. They can also bring some database software. They have software for analytics and virtualization. However, they don't have any software for the database."
"The interface could be improved. Other solutions, like Visual Studio, have much better UI."
"I think that the framework can be improved to make it easier for people to discover and use things on their own."
"One thing that hurts the product is that the company is not doing more to advertise it as a solution and make it more well known."
"Anaconda should be optimized for RAM consumption."
"I think better documentation or a step-by-step guide for installation would help, especially for on-premise users."
"One feature that I would like to see is being able to use a different language in a different cell, which would allow me to mix R and Python together."
"Having a small guide or video on the tool would help learn how to use it and what the features are."
"The dynamic column name feature could be improved. When attempting to automate processes involving columns, such as with companies, it becomes difficult to achieve the same result when we make changes."
"Not just for KNIME, but generally for software and analyzing data, I would welcome facilities for analyzing different sorts of scale data like Likert scales, Thurstone scales, magnitude ratio scales, and Guttman scales, which I don't use myself."
"It could be easier to use."
"The overall user experience feels unpolished. In particular: Data field type conversion is a real hassle, and date fields are a hassle; documentation is pretty poor; user community is average at best."
"It needs more examples, use cases, and MOOC to learn, especially with respect to the algorithms and how to practically create a flow from end-to-end."
"The documentation needs a proper rework. "
"It's pretty straightforward to understand. So, if you understand what the pipeline is, you can use the drag-and-drop functionality without much training. Doing the same thing in Python requires so much more training. That's why I use KNIME."
"The predefined workflows could use a bit of improvement."
Anaconda is ranked 13th in Data Science Platforms with 17 reviews while KNIME is ranked 4th in Data Science Platforms with 50 reviews. Anaconda is rated 8.0, while KNIME is rated 8.2. The top reviewer of Anaconda writes "Offers free version and is helpful to handle small-scale workloads". On the other hand, the top reviewer of KNIME writes "A low-code platform that reduces data mining time by linking script". Anaconda is most compared with Databricks, Microsoft Azure Machine Learning Studio, Amazon SageMaker, Microsoft Power BI and Tableau, whereas KNIME is most compared with RapidMiner, Microsoft Power BI, Alteryx, Dataiku and Weka. See our Anaconda vs. KNIME report.
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