Compare Amazon SageMaker vs. Google Cloud Datalab

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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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"All of the features of this product are quite 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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"The interface should be more user-friendly."

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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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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: All of the features of this product are quite good.
Top Answer: The interface should be more user-friendly. The security should be easier to set up. TensorBoard is available but it is hard to use.
Top Answer: We are using this solution to help manage personnel and to see if everyone is in the right place.
Ranking
14th
Views
10,392
Comparisons
9,138
Reviews
4
Average Words per Review
510
Avg. Rating
7.5
19th
Views
2,464
Comparisons
2,167
Reviews
1
Average Words per Review
303
Avg. Rating
8.0
Popular Comparisons
Compared 29% of the time.
Compared 41% of the time.
Compared 7% of the time.
Also Known As
AWS SageMaker, SageMaker
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Amazon
Google
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.

Cloud Datalab is a powerful interactive tool created to explore, analyze, transform and visualize data and build machine learning models on Google Cloud Platform. It runs on Google Compute Engine and connects to multiple cloud services easily so you can focus on your data science tasks.

Offer
Learn more about Amazon SageMaker
Learn more about Google Cloud Datalab
Sample Customers
DigitalGlobe, Thomson Reuters Center for AI and Cognitive Computing, Hotels.com, GE Healthcare, Tinder, Intuit
Information Not Available
Top Industries
VISITORS READING REVIEWS
Computer Software Company33%
Media Company20%
Comms Service Provider9%
Insurance Company5%
VISITORS READING REVIEWS
Computer Software Company38%
Comms Service Provider19%
Retailer8%
Media Company6%
Find out what your peers are saying about Alteryx, Databricks, Knime and others in Data Science Platforms. Updated: October 2020.
441,672 professionals have used our research since 2012.
Amazon SageMaker is ranked 14th in Data Science Platforms with 5 reviews while Google Cloud Datalab is ranked 19th in Data Science Platforms with 1 review. Amazon SageMaker is rated 7.6, while Google Cloud Datalab is rated 8.0. 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 Google Cloud Datalab writes "Stable, feature-rich, and easy to set up". Amazon SageMaker is most compared with Databricks, Microsoft Azure Machine Learning Studio, Dataiku Data Science Studio, Domino Data Science Platform and MathWorks Matlab, whereas Google Cloud Datalab is most compared with Databricks, KNIME, MathWorks Matlab, Microsoft Azure Machine Learning Studio and IBM Watson Studio.

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