We performed a comparison between Amazon SageMaker and Anaconda based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."The solution's ability to improve work at my organization stems from the ensemble model and a combination of various models it provides."
"We've had no problems with SageMaker's stability."
"The deployment is very good, where you only need to press a few buttons."
"The few projects we have done have been promising."
"The most valuable feature of Amazon SageMaker is that you don't have to do any programming in order to perform some of your use cases."
"The Autopilot feature is really good because it's helpful for people who don't have much experience with coding or data pipelines. When we suggest SageMaker to clients, they don't have to go through all the steps manually. They can leverage Autopilot to choose variables, run experiments, and monitor costs. The results are also pretty accurate."
"We were able to use the product to automate processes."
"They are doing a good job of evolving."
"The most advantageous feature is the logic building."
"The virtual environment is very good."
"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."
"The best part of Anaconda is the media distribution that comes as part of it. It gets us started very quickly."
"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."
"I can use Anaconda for non-heavy tasks."
"The most valuable feature is the set of libraries that are used to support the functionality that we require."
"Lacking in some machine learning pipelines."
"I would suggest that Amazon SageMaker provide free slots to allow customers to practice, such as a free slot to try out working with a Sandbox."
"Amazon SageMaker could improve in the area of hyperparameter tuning by offering more automated suggestions and tips during the tuning process."
"The solution needs to be cheaper since it now charges per document for extraction."
"The documentation must be made clearer and more user-friendly."
"I would say the IDE is quite immature, but it is still in its infancy, so I expect it to get better over time."
"The product must provide better documentation."
"AI is a new area and AWS needs to have an internship training program available."
"Anaconda could benefit from improvement in its user interface to make it more attractive and user-friendly. Currently, it's boring."
"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."
"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."
"I think that the framework can be improved to make it easier for people to discover and use things on their own."
"Anaconda can't handle heavy workloads."
"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."
Amazon SageMaker is ranked 5th in Data Science Platforms with 19 reviews while Anaconda is ranked 13th in Data Science Platforms with 15 reviews. Amazon SageMaker is rated 7.4, while Anaconda is rated 7.8. The top reviewer of Amazon SageMaker writes "Easy to use and manage, but the documentation does not have a lot of information". On the other hand, the top reviewer of Anaconda writes "Offers free version and is helpful to handle small-scale workloads". Amazon SageMaker is most compared with Databricks, Azure OpenAI, Google Vertex AI, Domino Data Science Platform and H2O.ai, whereas Anaconda is most compared with Databricks, Microsoft Azure Machine Learning Studio, Microsoft Power BI, IBM SPSS Statistics and IBM Watson Studio.
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