We performed a comparison between Amazon SageMaker and Anaconda based on real PeerSpot user reviews.
Find out in this report how the two Data Science Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."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."
"I have contacted the solution's technical support, and they were really good. I rate the technical support a ten out of ten."
"The deployment is very good, where you only need to press a few buttons."
"We've had experience with unique ML projects using SageMaker. For example, we're developing a platform similar to ChatGPT that requires models. We utilize Amazon SageMaker to create endpoints for these models, making accessing them convenient as needed."
"They are doing a good job of evolving."
"We were able to use the product to automate processes."
"We've had no problems with SageMaker's stability."
"The documentation is excellent and the solution has a very large and active community that supports it."
"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."
"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 advantageous feature is the logic building."
"Voice Configuration and Environmental Management Capabilities are the most valuable features."
"The best part of Anaconda is the media distribution that comes as part of it. It gets us started very quickly."
"The solution is stable."
"There are other better solutions for large data, such as Databricks."
"The solution requires a lot of data to train the model."
"Lacking in some machine learning pipelines."
"The pricing of the solution is an issue...In SageMaker, monitoring could be improved by supporting more data types other than JSON and CSV."
"Scalability to handle big data can be improved by making integration with networks such as Hadoop and Apache Spark easier."
"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."
"The documentation must be made clearer and more user-friendly."
"In my opinion, one improvement for Amazon SageMaker would be to offer serverless GPUs. Currently, we incur costs on an hourly basis. It would be beneficial if the tool could provide pay-as-you-go pricing based on endpoints."
"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."
"I think better documentation or a step-by-step guide for installation would help, especially for on-premise users."
"Anaconda could benefit from improvement in its user interface to make it more attractive and user-friendly. Currently, it's boring."
"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."
"The solution would benefit from offering more automation."
"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."
"A lot of people and companies are investing in creating automated data cleaning and processing environments. Anaconda is a bit behind in that area."
Amazon SageMaker is ranked 5th in Data Science Platforms with 19 reviews while Anaconda is ranked 13th in Data Science Platforms with 17 reviews. Amazon SageMaker is rated 7.4, while Anaconda is rated 8.0. 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. See our Amazon SageMaker vs. Anaconda report.
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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.
