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."The most advantageous feature is the logic building."
"The most valuable feature is the set of libraries that are used to support the functionality that we require."
"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."
"I can use Anaconda for non-heavy tasks."
"The virtual environment is very good."
"The solution is stable."
"The notebook feature is an improvement over RStudio."
"It is a stable, reliable product."
"It is a very stable and reliable solution."
"Stability-wise, it is a great tool."
"It has greatly improved the performance because it is standardized across the company."
"The scalability of IBM Watson Studio is great."
"Technical support is great. We have had weekly teleconferences with the technical people at IBM, and they have been fantastic."
"IBM Watson Studio consistently automates across channels."
"For me, the valuable feature of the solution is the one that I used, which was Jupyter notebooks."
"The interface could be improved. Other solutions, like Visual Studio, have much better UI."
"Anaconda could benefit from improvement in its user interface to make it more attractive and user-friendly. Currently, it's boring."
"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."
"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."
"Having a small guide or video on the tool would help learn how to use it and what the features are."
"The ability to schedule scripts for the building and monitoring of jobs would be an advantage for this platform."
"Anaconda should be optimized for RAM consumption."
"The decision making in their decision making feature is less good than other options."
"So a better user interface could be very helpful"
"I want IBM's technical support team to provide more specific answers to queries."
"We would like to see it more web-based with more functionality."
"I think maybe the support is an area where it lacks."
"Initially, it was quite complex. For us, it was not only a matter of getting it installed, that was just a start. It was also trying to come up with a standard way of implementing it across the entire organization, which had been a challenge."
"The solution's interface is very slow at times."
"The initial setup was complex."
Anaconda is ranked 13th in Data Science Platforms with 15 reviews while IBM Watson Studio is ranked 11th in Data Science Platforms with 13 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 Domino Data Science Platform, whereas IBM Watson Studio is most compared with Databricks, Microsoft Azure Machine Learning Studio, Azure OpenAI, Google Vertex AI and IBM SPSS Statistics.
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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.
