Compare Amazon SageMaker vs. Anaconda

Amazon SageMaker is ranked 13th in Data Science Platforms with 2 reviews while Anaconda is ranked 11th in Data Science Platforms with 10 reviews. Amazon SageMaker is rated 7.6, while Anaconda is rated 7.6. 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 and Domino Data Science Platform, whereas Anaconda is most compared with Databricks, Amazon SageMaker and Cloudera Data Science Workbench. See our Amazon SageMaker vs. Anaconda report.
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Amazon SageMaker Logo
5,586 views|5,163 comparisons
Anaconda Logo
3,595 views|2,409 comparisons
Most Helpful Review
Find out what your peers are saying about Amazon SageMaker vs. Anaconda and other solutions. Updated: January 2020.
389,722 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
They are doing a good job of evolving.The few projects we have done have been promising.

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The product is responsive, sleek and has a beautiful interface that is pleasant to use. It helps users to easily share code.The virtual environment is very good.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 most valuable feature is the set of libraries that are used to support the functionality that we require.The notebook feature is an improvement over RStudio.The solution is stable.The most advantageous feature is the logic building.It helped us find find the optimal area for where our warehouse should be located.

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Cons
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.I would say the IDE is quite immature, but it is still in its infancy, so I expect it to get better over time.

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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.Having a small guide or video on the tool would help learn how to use it and what the features are.I think that the framework can be improved to make it easier for people to discover and use things on their own.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.The interface could be improved. Other solutions, like Visual Studio, have much better UI.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.

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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.

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

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report
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389,722 professionals have used our research since 2012.
Ranking
13th
Views
5,586
Comparisons
5,163
Reviews
2
Average Words per Review
517
Avg. Rating
7.5
11th
Views
3,595
Comparisons
2,409
Reviews
9
Average Words per Review
420
Avg. Rating
7.3
Top Comparisons
Compared 30% of the time.
Compared 15% of the time.
Compared 14% of the time.
Also Known As
AWS SageMaker, SageMaker
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Amazon
Continuum Analytics
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, IntuitLinkedIn, NASA, Boeing, JP Morgan, Recursion Pharmaceuticals, DARPA, Microsoft, Amazon, HP, Cisco, Thomson Reuters, IBM, Bridgestone
Top Industries
VISITORS READING REVIEWS
Software R&D Company34%
Media Company15%
Comms Service Provider9%
Retailer8%
REVIEWERS
Manufacturing Company29%
Financial Services Firm29%
Pharma/Biotech Company14%
Non Tech Company14%
Find out what your peers are saying about Amazon SageMaker vs. Anaconda and other solutions. Updated: January 2020.
389,722 professionals have used our research since 2012.
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.