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."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 notebook feature is an improvement over RStudio."
"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 best part of Anaconda is the media distribution that comes as part of it. It gets us started very quickly."
"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."
"I can use Anaconda for non-heavy tasks."
"The virtual environment is very good."
"It stands out for its substantial AI capabilities, offering a broad spectrum of features for crafting solutions that meet specific requirements."
"The main benefit is the ease of use. We see a lot of engineers in our site and customers that really like the way the tools are able to work with the people."
"Watson Studio is very stable."
"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."
"Technical support is great. We have had weekly teleconferences with the technical people at IBM, and they have been fantastic."
"Stability-wise, it is a great tool."
"It is a very stable and reliable solution."
"The scalability of IBM Watson Studio is great."
"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."
"The interface could be improved. Other solutions, like Visual Studio, have much better UI."
"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."
"I think better documentation or a step-by-step guide for installation would help, especially for on-premise users."
"When you install Anaconda for the first time, it's really difficult to update it."
"The ability to schedule scripts for the building and monitoring of jobs would be an advantage for this platform."
"The solution's interface is very slow at times."
"I want IBM's technical support team to provide more specific answers to queries."
"Some of the solutions are really good solutions but they can be a little too costly for many."
"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."
"Watson Studio would be improved with a clearer path for the deployment of docker images."
"We would like to see it more web-based with more functionality."
"The initial setup was complex."
"The main challenge lies in visibility and ease of use."
Anaconda is ranked 18th in Data Science Platforms with 14 reviews while IBM Watson Studio is ranked 9th 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 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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