"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."
"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."
"The product is responsive, sleek and has a beautiful interface that is pleasant to use. It helps users to easily share code."
"The documentation is excellent and the solution has a very large and active community that supports it."
"This solution is easy to use and especially good at data preparation and wrapping."
"KNIME is quite scalable, which is one of the most important features that we found."
"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."
"It's a coding-less opportunity to use AI. This is the major value for me."
"What I like the most is that it works almost out of the box with Random Forest and other Forest nodes."
"The solution is good for teaching, since there is no need to code."
"It can handle an unlimited amount of data, which is the advantage of using Knime."
"This solution is easy to use and it can be used to create any kind of model."
"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."
"When you install Anaconda for the first time, it's really difficult to update it."
"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."
"Compared to the other data tools on the market, the user interface can be improved."
"The documentation is lacking and it could be better."
"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."
"There should be better documentation and the steps should be easier."
"It could input more data acquisitions from other sources and it is difficult to combine with Python."
"They should look at other vendors like Alteryx that are more user friendly and modern."
"The predefined workflows could use a bit of improvement."
"From the point of view of the interface, they can do a little bit better."
Anaconda makes it easy for you to install and maintain Python environments. Our development team tests to ensure compatibility of Python packages in Anaconda. We support and provide open source assurance for packages in Anaconda to mitigate your risk in using open source and meet your regulatory compliance requirements.
Python is the fastest growing language for data science. Anaconda includes 720+ Python open source packages and now includes essential R packages. This powerful combination allows you to do everything you want from BI to advanced modeling on complex Big Data
Anaconda is ranked 11th in Data Science Platforms with 4 reviews while KNIME is ranked 3rd in Data Science Platforms with 14 reviews. Anaconda is rated 9.4, while KNIME is rated 8.2. The top reviewer of Anaconda writes "Responsive, sleek and had a beautiful interface that is pleasant to use". On the other hand, the top reviewer of KNIME writes "Good workflow tools, supports Python and R integration". Anaconda is most compared with Databricks, Amazon SageMaker, Microsoft Azure Machine Learning Studio, Cloudera Data Science Workbench and SAP Analytics Cloud, whereas KNIME is most compared with Alteryx, RapidMiner, Databricks, Weka and Cloudera Data Science Workbench. See our Anaconda vs. KNIME report.
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