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Compare Google Cloud BigQuery and machine-learning in Python 
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At a Glance
Market Segments
Enterprise (38.1% of reviews)
Enterprise (40.6% of reviews)
Entry-Level Pricing
Free
No pricing available
Google Cloud BigQuery
Star Rating
(1,201)4.5 out of 5
Market Segments
Enterprise (38.1% of reviews)
Pros & Cons
Entry-Level Pricing
Free
Free Trial is available
Browse all 5 pricing plansmachine-learning in Python
Star Rating
(35)4.7 out of 5
Market Segments
Enterprise (40.6% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about machine-learning in PythonGoogle Cloud BigQuery vs machine-learning in Python
When assessing the two solutions, reviewers found machine-learning in Python easier to use and administer. Reviewers also felt that machine-learning in Python was easier to do business with overall. However reviewers felt that the products are equally easy to set up.
- Reviewers felt that machine-learning in Python meets the needs of their business better than Google Cloud BigQuery.
- When comparing quality of ongoing product support, Google Cloud BigQuery and machine-learning in Python provide similar levels of assistance.
- For feature updates and roadmaps, our reviewers preferred the direction of machine-learning in Python over Google Cloud BigQuery.
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
machine-learning in Python
No pricing availableFree Trial
Google Cloud BigQuery
Free Trial is available
machine-learning in Python
No trial information availableRatings
Meets Requirements
8.8
612
9.0
26
Ease of Use
8.7
626
9.0
29
Ease of Setup
8.8
401
8.8
20
Ease of Admin
8.5
224
9.0
17
Quality of Support
8.4
564
8.4
26
Has the product been a good partner in doing business?
8.7
217
8.9
16
Product Direction (% positive)
9.2
600
10.0
24
Features by Category
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
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
220
|
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
Integration - Machine Learning
Not enough data
Not enough data
Learning - Machine Learning
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Statistical Tool
8.7
78
Not enough data
9.0
79
Not enough data
8.8
79
Not enough data
Data Analysis
9.3
78
Not enough data
9.1
79
Not enough data
Decision Making
8.8
80
Not enough data
8.7
78
Not enough data
8.7
80
Not enough data
8.7
78
Not enough data
Generative AI
7.5
51
Not enough data
7.8
51
Not enough data
Marketing Operations
8.8
66
Not enough data
9.2
64
Not enough data
8.9
65
Not enough data
9.4
66
Not enough data
8.8
63
Not enough data
8.5
63
Not enough data
Campaign Activity
9.1
68
Not enough data
9.5
67
Not enough data
8.7
64
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
295
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 machine-learning in Python share no categories
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, Predictive Analytics, Data Warehouse, and Data Clean Room
machine-learning in Python is categorized as Machine Learning
Reviews
Reviewers' Company Size
Google Cloud BigQuery
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
machine-learning in Python
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
16.2%
Computer Software
13.5%
Retail
7.1%
Financial Services
6.5%
Marketing and Advertising
5.1%
Other
51.7%
Computer Software
25.0%
Information Technology and Services
15.6%
Research
12.5%
Higher Education
6.3%
Telecommunications
3.1%
Other
37.5%
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
Which Python version is best for machine learning?
2 Comments
SM
3.7 or later version is best to use this language.Read more
What is Python with machine learning?
1 Comment
SD
Firstly python is just a way to get machine learning things get done not inter related to machine learning. But using python in machine learning will help...Read more
machine-learning in Python has no more discussions with answers
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