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Amazon SageMaker Logo
12,692 views|10,450 comparisons
Anaconda Logo
5,508 views|4,607 comparisons
Featured Review
Find out what your peers are saying about Amazon SageMaker vs. Anaconda and other solutions. Updated: November 2021.
555,139 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
"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.""They are doing a good job of evolving.""The deployment is very good, where you only need to press a few buttons.""Allows you to create API endpoints."

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"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 advantageous feature is the logic building.""It helped us find find the optimal area for where our warehouse should be located.""The product is responsive, sleek and has a beautiful interface that is pleasant to use. It helps users to easily share code.""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.""The documentation is excellent and the solution has a very large and active community that supports it.""The virtual environment is very good."

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Cons
"Scalability to handle big data can be improved by making integration with networks such as Hadoop and Apache Spark easier.""AI is a new area and AWS needs to have an internship training program available.""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."

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"The interface could be improved. Other solutions, like Visual Studio, have much better UI.""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.""I think better documentation or a step-by-step guide for installation would help, especially for on-premise users.""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.""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.""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."

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Pricing and Cost Advice
"The pricing is complicated as it is based on what kind of machines you are using, the type of storage, and the kind of computation.""The support costs are 10% of the Amazon fees and it comes by default."

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"The product is open-source and free to use.""The licensing costs for Anaconda are reasonable."

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Questions from the Community
Top Answer: We researched AWS SageMaker, but in the end, we chose Databricks. Databricks is a Unified Analytics Platform designed to accelerate innovation projects. It is based on Spark so it is very fast. It… more »
Top Answer: 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… more »
Top Answer: 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… more »
Ranking
11th
Views
12,692
Comparisons
10,450
Reviews
3
Average Words per Review
596
Rating
8.0
7th
Views
5,508
Comparisons
4,607
Reviews
11
Average Words per Review
470
Rating
7.8
Comparisons
Also Known As
AWS SageMaker, SageMaker
Learn More
Overview

Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker removes all the barriers that typically slow down developers who want to use machine learning.

Anaconda makes it easy for you to install and maintain Python environments. Our development team tests to ensure compatibility of Python packages in Anaconda. We support and provide open source assurance for packages in Anaconda to mitigate your risk in using open source and meet your regulatory compliance requirements.

Python is the fastest growing language for data science. Anaconda includes 720+ Python open source packages and now includes essential R packages. This powerful combination allows you to do everything you want from BI to advanced modeling on complex Big Data

Offer
Learn more about Amazon SageMaker
Learn more about Anaconda
Sample Customers
DigitalGlobe, Thomson Reuters Center for AI and Cognitive Computing, Hotels.com, GE Healthcare, Tinder, Intuit
LinkedIn, NASA, Boeing, JP Morgan, Recursion Pharmaceuticals, DARPA, Microsoft, Amazon, HP, Cisco, Thomson Reuters, IBM, Bridgestone
Top Industries
VISITORS READING REVIEWS
Computer Software Company24%
Media Company14%
Comms Service Provider14%
Financial Services Firm8%
REVIEWERS
Financial Services Firm22%
Manufacturing Company22%
Non Tech Company11%
Pharma/Biotech Company11%
VISITORS READING REVIEWS
Computer Software Company23%
Comms Service Provider18%
Financial Services Firm12%
Government7%
Company Size
REVIEWERS
Midsize Enterprise57%
Large Enterprise43%
REVIEWERS
Small Business38%
Large Enterprise63%
Find out what your peers are saying about Amazon SageMaker vs. Anaconda and other solutions. Updated: November 2021.
555,139 professionals have used our research since 2012.

Amazon SageMaker is ranked 11th in Data Science Platforms with 4 reviews while Anaconda is ranked 7th in Data Science Platforms with 12 reviews. Amazon SageMaker is rated 8.0, while Anaconda is rated 7.8. The top reviewer of Amazon SageMaker writes "A solution with great computational storage, has many pre-built models, is stable, and has good support". On the other hand, the top reviewer of Anaconda writes "Responsive, sleek and had a beautiful interface that is pleasant to use". Amazon SageMaker is most compared with Databricks, Microsoft Azure Machine Learning Studio, Dataiku Data Science Studio, Domino Data Science Platform and IBM Watson Studio, whereas Anaconda is most compared with Databricks, Microsoft Azure Machine Learning Studio, Cloudera Data Science Workbench, Microsoft BI and MathWorks Matlab. See our Amazon SageMaker vs. Anaconda report.

See our list of best Data Science Platforms vendors.

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.