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 product is responsive, sleek and has a beautiful interface that is pleasant to use. It helps users to easily share code."
"Voice Configuration and Environmental Management Capabilities are the most valuable features."
"The most valuable feature is the set of libraries that are used to support the functionality that we require."
"The best part of Anaconda is the media distribution that comes as part of it. It gets us started very quickly."
"The most valuable feature is the Jupyter notebook that allows us to write the Python code, compile it on the fly, and then look at the results."
"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."
"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."
"It is a stable solution...It is a scalable solution."
"It's a coding-less opportunity to use AI. This is the major value for me."
"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."
"It has allowed us to easily implement advanced analytics into various processes."
"The most valuable is the ability to seamlessly connect operators without the need for extensive programming."
"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."
"The product is open-source and therefore free to use."
"The most valuable feature is the data wrangling, which is what I mainly use it for."
"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."
"When you install Anaconda for the first time, it's really difficult to update it."
"Anaconda can't handle heavy workloads."
"A lot of people and companies are investing in creating automated data cleaning and processing environments. Anaconda is a bit behind in that area."
"The solution would benefit from offering more automation."
"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."
"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."
"The documentation needs a proper rework. "
"I would like to see better web scraping because every time I tried, it was not up to par, although you can use Python script."
"KNIME needs to provide more documentation and training materials, including webinars or online seminars."
"The visualization functionalities are not good (cannot be compared to, for instance, the possibilities in R)."
"They could add more detailed examples of the functionality of every node, how it works and how we can use it, to make things easier at the beginning."
"It could be easier to use."
"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 MathWorks Matlab, whereas KNIME is most compared with RapidMiner, Microsoft Power BI, Alteryx, Dataiku and Weka. See our Anaconda vs. KNIME report.
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