Compare Amazon SageMaker vs. Anaconda

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Amazon SageMaker Logo
10,392 views|9,138 comparisons
Anaconda Logo
4,597 views|3,475 comparisons
Most Helpful Review
Find out what your peers are saying about Amazon SageMaker vs. Anaconda and other solutions. Updated: September 2020.
442,041 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 few projects we have done have been promising.""They are doing a good job of evolving.""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.""Allows you to create API endpoints.""The deployment is very good, where you only need to press a few buttons."

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"It helped us find find the optimal area for where our warehouse should be located.""The best part of Anaconda is the media distribution that comes as part of it. It gets us started very quickly.""The most advantageous feature is the logic building.""The solution is stable.""The notebook feature is an improvement over RStudio.""The most valuable feature is the set of libraries that are used to support the functionality that we require.""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 virtual environment is very good."

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Cons
"I would say the IDE is quite immature, but it is still in its infancy, so I expect it to get better over time.""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.""AI is a new area and AWS needs to have an internship training program available.""Lacking in some machine learning pipelines.""Scalability to handle big data can be improved by making integration with networks such as Hadoop and Apache Spark easier."

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"I think better documentation or a step-by-step guide for installation would help, especially for on-premise users.""The ability to schedule scripts for the building and monitoring of jobs would be an advantage for this platform.""The interface could be improved. Other solutions, like Visual Studio, have much better UI.""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.""I think that the framework can be improved to make it easier for people to discover and use things on their own.""Having a small guide or video on the tool would help learn how to use it and what the features are.""The solution would benefit from offering more automation.""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."

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

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Questions from the Community
Top Answer: Allows you to create API endpoints.
Top Answer: The pricing for the Notebook endpoints is a bit high, but generally reasonable.
Top Answer: The product has come a long way and they've added a lot of things, but in terms of improvement I would like to probably have features such as MLflow embedded into it. Additional features I would like… more »
Top Answer: The product is responsive, sleek and has a beautiful interface that is pleasant to use. It helps users to easily share code.
Top Answer: The product is open-source and free to users.
Top Answer: The product can be improved in a few ways. It would be possible to simplify the installation although it was not a problem in my case because of my experience. One thing that hurts the product is that… more »
Ranking
14th
Views
10,392
Comparisons
9,138
Reviews
4
Average Words per Review
510
Avg. Rating
7.5
5th
Views
4,597
Comparisons
3,475
Reviews
11
Average Words per Review
477
Avg. Rating
7.7
Popular Comparisons
Compared 29% of the time.
Compared 4% of the time.
Compared 9% of the time.
Compared 7% of the time.
Compared 7% of the time.
Compared 6% 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
Computer Software Company33%
Media Company20%
Comms Service Provider9%
Insurance Company5%
REVIEWERS
Financial Services Firm25%
Manufacturing Company25%
Non Tech Company13%
Pharma/Biotech Company13%
VISITORS READING REVIEWS
Computer Software Company23%
Comms Service Provider12%
University10%
Media Company8%
Find out what your peers are saying about Amazon SageMaker vs. Anaconda and other solutions. Updated: September 2020.
442,041 professionals have used our research since 2012.
Amazon SageMaker is ranked 14th in Data Science Platforms with 5 reviews while Anaconda is ranked 5th in Data Science Platforms with 12 reviews. Amazon SageMaker is rated 7.6, 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 KNIME, whereas Anaconda is most compared with Cloudera Data Science Workbench, Microsoft BI, SAP Analytics Cloud, Databricks and KNIME. 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.