We performed a comparison between Anaconda and Yellowfin based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."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."
"The solution is stable."
"The virtual environment is very good."
"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 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 most advantageous feature is the logic building."
"The best part of Anaconda is the media distribution that comes as part of it. It gets us started very quickly."
"It is able to create information dashboards for various users' throughout."
"It reduces time to reproduce reports, provides easy access to organisational data, and has the ability to generate a wide range of reports and analysis."
"It is a central source of up-to-date data and information."
"I think that the framework can be improved to make it easier for people to discover and use things on their own."
"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."
"Anaconda should be optimized for RAM consumption."
"Having a small guide or video on the tool would help learn how to use it and what the features are."
"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."
"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."
"The solution would benefit from offering more automation."
"When you install Anaconda for the first time, it's really difficult to update it."
"It needs more presentation/charting capabilities and integration with GIS."
Earn 20 points
Anaconda is ranked 13th in Data Science Platforms with 15 reviews while Yellowfin is ranked 36th in BI (Business Intelligence) Tools. Anaconda is rated 7.8, while Yellowfin is rated 8.0. 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 Yellowfin writes "Very scalable design and easy to implement. It can reside alongside more complex enterprise systems". Anaconda is most compared with Databricks, Microsoft Azure Machine Learning Studio, Amazon SageMaker, Microsoft Power BI and IBM SPSS Statistics, whereas Yellowfin is most compared with Microsoft Power BI, Apache Superset, 9 Spokes, Tableau and SAP Crystal Reports.
We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
