We performed a comparison between Anaconda and IBM Watson Studio based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."I can use Anaconda for non-heavy tasks."
"The virtual environment is very good."
"The documentation is excellent and the solution has a very large and active community that supports it."
"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 set of libraries that are used to support the functionality that we require."
"The most advantageous feature is the logic building."
"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."
"It is a stable, reliable product."
"Stability-wise, it is a great tool."
"For me, the valuable feature of the solution is the one that I used, which was Jupyter notebooks."
"Technical support is great. We have had weekly teleconferences with the technical people at IBM, and they have been fantastic."
"The scalability of IBM Watson Studio is great."
"The most important thing is that it's a multi-faceted solution. It's a kind of specialist, not a generalist. It can produce very specific information for the customer. It's totally different from Google or any search engine that produces generic information. It's specialty is that it's all on video."
"IBM Watson Studio consistently automates across channels."
"The solution is very easy to use."
"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."
"I think that the framework can be improved to make it easier for people to discover and use things on their own."
"The interface could be improved. Other solutions, like Visual Studio, have much better UI."
"Anaconda should be optimized for RAM consumption."
"The ability to schedule scripts for the building and monitoring of jobs would be an advantage for this platform."
"The solution would benefit from offering more automation."
"It's sometimes easy to get lost given the number of images the solution opens up when you click on the mouse and the amount of different tabs."
"The main challenge lies in visibility and ease of use."
"We would like to see it more web-based with more functionality."
"So a better user interface could be very helpful"
"We would like to see it less as one big, massive product, but more based on smaller services that we can then roll out to consumers."
"I want IBM's technical support team to provide more specific answers to queries."
"The decision making in their decision making feature is less good than other options."
"More features in data virtualization would be helpful. The solution could use an interactive dashboard that could make exploration easier."
Anaconda is ranked 18th in Data Science Platforms with 1 review while IBM Watson Studio is ranked 9th in Data Science Platforms with 5 reviews. Anaconda is rated 7.8, while IBM Watson Studio 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 IBM Watson Studio writes "A highly robust and well-documented platform that simplifies the complex world of AI". Anaconda is most compared with Databricks, Microsoft Azure Machine Learning Studio, Amazon SageMaker, Microsoft Power BI and RapidMiner, whereas IBM Watson Studio is most compared with Microsoft Azure Machine Learning Studio, Databricks, Azure OpenAI, Google Vertex AI and IBM SPSS Statistics.
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