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Compare Google Cloud AutoML and SAS Enterprise Miner 
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At a Glance
Market Segments
Small-Business (45.5% of reviews)
Enterprise (57.6% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Google Cloud AutoML
Star Rating
(22)4.1 out of 5
Market Segments
Small-Business (45.5% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Google Cloud AutoMLSAS Enterprise Miner
Star Rating
(192)4.2 out of 5
Market Segments
Enterprise (57.6% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about SAS Enterprise MinerSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that SAS Enterprise Miner excels in its Pre-Built Algorithms feature, scoring an impressive 8.8, which reviewers mention significantly speeds up the model development process compared to Google Cloud AutoML's score of 8.3.
- Reviewers mention that Google Cloud AutoML offers superior Natural Language Generation capabilities, achieving a score of 8.8, while SAS Enterprise Miner trails with a score of 8.1, indicating a stronger focus on language-related tasks in Google’s offering.
- G2 users highlight that SAS Enterprise Miner provides robust Data Ingestion & Wrangling tools, scoring 8.1, which reviewers say is essential for handling complex datasets, whereas Google Cloud AutoML's score of 7.5 suggests it may not be as comprehensive in this area.
- Users on G2 report that Google Cloud AutoML shines in Scalability, with a score of 9.0, making it a preferred choice for businesses looking to grow, while SAS Enterprise Miner’s score of 8.6 indicates it may not scale as effectively.
- Reviewers mention that SAS Enterprise Miner has a higher score of 8.2 for Quality of Support, which users say is crucial for enterprises needing reliable assistance, compared to Google Cloud AutoML's score of 7.6.
- Users say that Google Cloud AutoML's Managed Service feature, with a score of 8.1, is beneficial for small businesses looking for ease of use, while SAS Enterprise Miner’s score of 8.6 suggests it may offer more robust managed services for larger enterprises.
Pricing
Entry-Level Pricing
Google Cloud AutoML
No pricing availableSAS Enterprise Miner
No pricing availableFree Trial
Google Cloud AutoML
No trial information availableSAS Enterprise Miner
No trial information availableRatings
Meets Requirements
8.6
14
8.7
168
Ease of Use
8.6
14
7.7
168
Ease of Setup
7.4
11
7.7
48
Ease of Admin
7.9
12
7.7
47
Quality of Support
7.5
14
8.2
151
Has the product been a good partner in doing business?
8.3
11
8.3
47
Product Direction (% positive)
8.9
11
7.4
159
Features by Category
Administration
Not enough data
7.8
6
Not enough data
7.2
6
Not enough data
6.4
6
Capabilities
Not enough data
7.2
6
Not enough data
8.1
6
Not enough data
7.8
6
Not enough data
7.5
6
Methodology
Not enough data
8.9
6
Not enough data
8.9
6
Not enough data
8.3
6
Generative AI
Not enough data
6.7
6
Not enough data
6.7
6
System
Not enough data
8.1
8
Model Development
Not enough data
7.1
8
Not enough data
7.7
8
Not enough data
8.8
8
Not enough data
8.5
8
Model Development
Not enough data
8.1
8
Machine/Deep Learning Services
Not enough data
8.3
7
Not enough data
8.1
7
Not enough data
8.3
7
Not enough data
8.3
8
Machine/Deep Learning Services
Not enough data
8.1
7
Not enough data
7.6
7
Deployment
Not enough data
8.6
7
Not enough data
8.8
7
Not enough data
9.0
7
Generative AI
Not enough data
8.6
7
Not enough data
8.6
7
Not enough data
8.8
7
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Ingestion & Preparation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Model Construction & Automation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Statistical Tool
Not enough data
8.1
86
Not enough data
8.3
93
Not enough data
8.0
89
Data Analysis
Not enough data
9.1
103
Not enough data
8.4
103
Decision Making
Not enough data
8.6
97
Not enough data
7.2
103
Not enough data
8.0
100
Not enough data
7.8
17
Generative AI
Not enough data
7.4
7
Not enough data
7.4
7
Categories
Categories
Shared Categories
Google Cloud AutoML and SAS Enterprise Miner are categorized as Data Science and Machine Learning Platforms
Unique Categories
Google Cloud AutoML is categorized as Low-Code Machine Learning Platforms
SAS Enterprise Miner is categorized as Predictive Analytics and Statistical Analysis
Reviews
Reviewers' Company Size
Google Cloud AutoML
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
SAS Enterprise Miner
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Research
13.6%
Information Technology and Services
13.6%
Computer Software
9.1%
Program Development
4.5%
Pharmaceuticals
4.5%
Other
54.5%
Higher Education
17.4%
Information Technology and Services
11.4%
Hospital & Health Care
10.9%
Research
7.6%
Government Administration
6.0%
Other
46.7%
Alternatives
Discussions
Google Cloud AutoML has no discussions with answers
What is advanced analytics platform?
1 Comment
GS
Advanced Analytics is the autonomous or semi-autonomous examination of data or content using sophisticated techniques and tools, typically beyond those of...Read more
SAS Enterprise Miner has no more discussions with answers
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