Compare Amazon SageMaker vs. WPS Analytics

Amazon SageMaker is ranked 14th in Data Science Platforms with 4 reviews while WPS Analytics is ranked 28th in Data Science Platforms. Amazon SageMaker is rated 7.4, while WPS Analytics is rated 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, Amazon SageMaker is most compared with Databricks, Microsoft Azure Machine Learning Studio and Domino Data Science Platform, whereas WPS Analytics is most compared with Analance, Alteryx and Databricks.
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Amazon SageMaker Logo
7,233 views|6,548 comparisons
WPS Analytics Logo
216 views|165 comparisons
Most Helpful Review
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Find out what your peers are saying about Alteryx, Knime, Databricks and others in Data Science Platforms. Updated: March 2020.
408,726 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:

Pricing and Cost Advice
The support costs are 10% of the Amazon fees and it comes by default.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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408,726 professionals have used our research since 2012.
Ranking
14th
Views
7,233
Comparisons
6,548
Reviews
3
Average Words per Review
560
Avg. Rating
7.3
28th
Views
216
Comparisons
165
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Top Comparisons
Compared 31% of the time.
Compared 25% of the time.
Compared 25% of the time.
Compared 18% of the time.
Also Known As
AWS SageMaker, SageMakerWorld Programming System, WPS
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Amazon
World Programming
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.

WPS is used in production on a huge range of systems at sites around the world. Thousands of analysts are using WPS in their daily data processing and analysis tasks, and thousands more rely on the heavy-lifting ability of WPS overnight and scheduled processing to deliver the information they require. Customers are able to choose to run WPS software on IBM z/OS Mainframes, servers and workstations running UNIX, Linux, Solaris, AIX, macOS and the full range of Microsoft Windows operating systems to fit in with existing or planned infrastructure.

Offer
Learn more about Amazon SageMaker
Learn more about WPS Analytics
Sample Customers
DigitalGlobe, Thomson Reuters Center for AI and Cognitive Computing, Hotels.com, GE Healthcare, Tinder, Intuit
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Top Industries
VISITORS READING REVIEWS
Software R&D Company32%
Media Company18%
Comms Service Provider11%
K 12 Educational Company Or School4%
No Data Available
Find out what your peers are saying about Alteryx, Knime, Databricks and others in Data Science Platforms. Updated: March 2020.
408,726 professionals have used our research since 2012.
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