We performed a comparison between Anaconda and KNIME based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."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 best part of Anaconda is the media distribution that comes as part of it. It gets us started very quickly."
"It's interesting. It's user friendly. That's what makes it outstanding among the others. It has a collection of R, Python, and others. Their platform strategy has a collection of many other visualization tools, apart from Spyder and RStudio, which is really helpful for data science. For any data science professional, Anaconda is really handy. It has almost all the tools for data science."
"The solution is stable."
"The most advantageous feature is the logic building."
"The product is responsive, sleek and has a beautiful interface that is pleasant to use. It helps users to easily share code."
"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."
"From a user-friendliness perspective, it's a great tool."
"Clear view of the data at every step of ETL process enables changing the flow as needed."
"It's a very powerful and simple tool to use."
"Easy to connect with every database: We use queries from SQL, Redshift, Oracle."
"The most useful features are the readily available extensions that speed up the work."
"KNIME is quite scalable, which is one of the most important features that we found."
"I've tried to utilize KNIME to the fullest extent possible to replace Excel."
"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 solution would benefit from offering more automation."
"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 could benefit from improvement in its user interface to make it more attractive and user-friendly. Currently, it's boring."
"The ability to schedule scripts for the building and monitoring of jobs would be an advantage for this platform."
"Having a small guide or video on the tool would help learn how to use it and what the features are."
"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."
"Data visualization needs improvement."
"There should be better documentation and the steps should be easier."
"The solution is inconvenient when it comes to wrangling data that includes multiple steps or features because each step or feature requires its own icon."
"The most difficult part of the solution revolves around its areas concerning machine learning and deep learning."
"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."
"The main issue with KNIME is that it sometimes uses too much CPU and RAM when working with large amounts of data."
"I would like it to have data visualitation capabilities. Today I'm still creating my own data visualtions tools to present my reports."
"The ability to handle large amounts of data and performance in processing need to be improved."
Anaconda is ranked 13th in Data Science Platforms with 15 reviews while KNIME is ranked 4th in Data Science Platforms with 50 reviews. Anaconda is rated 7.8, 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 MathWorks Matlab, whereas KNIME is most compared with RapidMiner, Microsoft Power BI, Alteryx, Weka and Dataiku Data Science Studio.
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