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Compare Google Cloud BigQuery and SAS Enterprise Miner 
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At a Glance
Market Segments
Enterprise (38.0% of reviews)
Enterprise (57.6% of reviews)
Entry-Level Pricing
Free
No pricing available
Google Cloud BigQuery
Star Rating
(1,203)4.5 out of 5
Market Segments
Enterprise (38.0% of reviews)
Pros & Cons
Entry-Level Pricing
Free
Free Trial is available
Browse all 5 pricing plansSAS 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 Google Cloud BigQuery excels in data integration with a score of 9.0, allowing seamless connections to various data sources, while SAS Enterprise Miner, with a score of 8.3, is noted for its robust data mining capabilities but may require more manual effort for integration.
- Reviewers mention that Google Cloud BigQuery's real-time analytics feature, rated at 8.8, provides immediate insights, which is a significant advantage for businesses needing timely data. In contrast, SAS Enterprise Miner, while strong in predictive analytics, has a lower score of 8.6 in this area, indicating potential delays in data processing.
- G2 users highlight the ease of use of Google Cloud BigQuery, scoring 8.7, which is attributed to its intuitive interface and straightforward setup. Conversely, users on G2 report that SAS Enterprise Miner, with a score of 7.7, can be more complex to navigate, especially for new users.
- Reviewers say that Google Cloud BigQuery's centralized computation feature, rated at 8.9, enhances performance and scalability, making it ideal for large datasets. SAS Enterprise Miner, while offering solid performance, scores lower at 8.6, suggesting it may not scale as efficiently under heavy loads.
- Users report that Google Cloud BigQuery's built-in data analytics capabilities, rated at 8.6, allow for comprehensive analysis without needing additional tools, whereas SAS Enterprise Miner, with a score of 8.1, may require external tools for certain advanced analytics tasks.
- Reviewers mention that Google Cloud BigQuery's strong support for AI/ML integration, scoring 8.5, makes it a preferred choice for organizations looking to leverage machine learning. In contrast, SAS Enterprise Miner, while capable, has a slightly lower score of 8.1, indicating it may not be as robust in this area.
Pricing
Entry-Level Pricing
Google Cloud BigQuery
Free
Free
New customers get $300 in free Google Cloud credits to spend on BigQuery with free trial sign-up.
- 10 GB storage
- Up to 1 TB queries per month
SAS Enterprise Miner
No pricing availableFree Trial
Google Cloud BigQuery
Free Trial is available
SAS Enterprise Miner
No trial information availableRatings
Meets Requirements
8.8
614
8.7
168
Ease of Use
8.7
628
7.7
168
Ease of Setup
8.8
403
7.7
48
Ease of Admin
8.5
224
7.7
47
Quality of Support
8.4
566
8.2
151
Has the product been a good partner in doing business?
8.7
217
8.3
47
Product Direction (% positive)
9.2
602
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
Management
8.6
123
Not enough data
8.3
121
Not enough data
Functionality
9.0
121
Not enough data
9.1
124
Not enough data
9.0
124
Not enough data
8.9
123
Not enough data
9.4
124
Not enough data
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 Management
8.9
223
|
Verified
Not enough data
8.3
214
|
Verified
Not enough data
8.9
219
|
Verified
Not enough data
8.6
215
|
Verified
Not enough data
8.3
204
|
Verified
Not enough data
8.7
205
|
Verified
Not enough data
Integration
8.6
204
|
Verified
Not enough data
8.6
216
|
Verified
Not enough data
8.6
204
|
Verified
Not enough data
Deployment
7.8
190
|
Verified
Not enough data
9.1
215
|
Verified
Not enough data
Performance
9.1
221
|
Verified
Not enough data
Security
8.7
211
|
Verified
Not enough data
9.2
217
|
Verified
Not enough data
Generative AI
7.7
132
Not enough data
7.9
129
Not enough data
Storage
9.1
70
Not enough data
8.8
70
Not enough data
Availability
8.4
62
Not enough data
8.5
66
Not enough data
8.6
68
Not enough data
Performance
8.5
65
Not enough data
Security
8.7
70
Not enough data
8.8
69
Not enough data
8.4
69
Not enough data
8.7
65
Not enough data
Support
8.7
66
Not enough data
8.9
66
Not enough data
Centralized computation
9.1
27
Not enough data
Localized computation
8.5
28
Not enough data
Statistical Tool
8.7
78
8.1
86
9.0
79
8.3
93
8.8
79
8.0
89
Data Analysis
9.3
78
9.1
103
9.1
79
8.4
103
Decision Making
8.8
80
8.6
97
8.7
78
7.2
103
8.7
80
8.0
100
8.7
78
7.8
17
Generative AI
7.5
51
7.4
7
7.8
51
7.4
7
Marketing Operations
8.8
66
Not enough data
9.2
65
Not enough data
8.9
65
Not enough data
9.4
66
Not enough data
8.8
64
Not enough data
8.5
63
Not enough data
Campaign Activity
9.1
68
Not enough data
9.5
68
Not enough data
8.7
65
Not enough data
9.2
62
Not enough data
8.9
63
Not enough data
9.1
65
Not enough data
Agentic AI - Marketing Analytics
8.8
16
Not enough data
9.6
16
Not enough data
8.3
16
Not enough data
Database
8.8
178
Not enough data
8.9
176
Not enough data
8.8
170
Not enough data
Integrations
8.4
139
Not enough data
8.6
136
Not enough data
Platform
8.9
153
Not enough data
8.9
168
Not enough data
8.6
136
Not enough data
Processing
9.3
170
Not enough data
9.1
164
Not enough data
Data Transformation
8.8
288
Not enough data
9.3
296
Not enough data
Connectivity
8.1
256
Not enough data
8.2
254
Not enough data
8.7
283
Not enough data
8.8
274
Not enough data
Operations
8.5
283
Not enough data
8.7
282
Not enough data
8.3
260
Not enough data
8.4
267
Not enough data
8.5
259
Not enough data
Building Reports
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Platform
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
Categories
Categories
Shared Categories
Google Cloud BigQuery and SAS Enterprise Miner are categorized as Predictive Analytics
Unique Categories
Google Cloud BigQuery is categorized as Columnar Databases, Big Data Integration Platforms, ETL Tools, Big Data Processing and Distribution, Big Data Analytics, Marketing Analytics, Data Warehouse, and Data Clean Room
SAS Enterprise Miner is categorized as Data Science and Machine Learning Platforms and Statistical Analysis
Reviews
Reviewers' Company Size
Google Cloud BigQuery
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
Information Technology and Services
16.1%
Computer Software
13.5%
Retail
7.1%
Financial Services
6.5%
Marketing and Advertising
5.1%
Other
51.7%
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
Is Big Query free?
3 Comments
BG
noRead more
Is BigQuery part of Google Cloud Platform?
2 Comments
AY
Yes, Bigquery is a GCP product and a serveless data wharehouse.Read more
How BQ legacy SQl is different form the standard SQL?
1 Comment
OD
Legacy SQL is a non-standard SQL only used by BigQuery. Standard SQL is compliant with the SQL 2011.
Google recommends using Standard SQL and looking at the...Read more
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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