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Compare Azure Data Factory and Google Cloud BigQuery 
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At a Glance
Market Segments
Enterprise (63.0% of reviews)
Enterprise (38.1% of reviews)
Entry-Level Pricing
No pricing available
Free
Azure Data Factory
Star Rating
(87)4.6 out of 5
Market Segments
Enterprise (63.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Azure Data FactoryGoogle 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 plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Google Cloud BigQuery excels in data querying with a score of 9.3, making it a preferred choice for those needing fast and efficient data retrieval. In contrast, Azure Data Factory also performs well in this area with a score of 9.1, but users mention that it may not be as swift as BigQuery for large datasets.
- Reviewers mention that Azure Data Factory shines in data transformation, scoring 9.3, which is higher than BigQuery's score of 9.0. Users appreciate its robust ETL capabilities, allowing for seamless data manipulation and preparation.
- G2 users highlight that Google Cloud BigQuery's built-in data analytics features, rated at 8.6, provide powerful insights directly within the platform. However, Azure Data Factory's analytics capabilities are perceived as less integrated, leading some users to seek additional tools for comprehensive analysis.
- Users on G2 report that Azure Data Factory offers superior automation features, scoring 9.2 compared to BigQuery's 8.9. Reviewers appreciate the ease of setting up automated workflows, which enhances productivity and reduces manual intervention.
- Reviewers mention that Google Cloud BigQuery's centralized computation capabilities, particularly in data mining, score an impressive 9.0, making it a strong choice for users focused on advanced analytics. Azure Data Factory, while capable, does not match this level of performance in data mining.
- Users say that both platforms provide solid security features, but Google Cloud BigQuery's data security score of 9.1 is slightly higher than Azure Data Factory's 8.8. Reviewers appreciate BigQuery's robust encryption and role-based authorization, which enhance data protection.
Pricing
Entry-Level Pricing
Azure Data Factory
No pricing availableGoogle 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
Free Trial
Azure Data Factory
No trial information availableGoogle Cloud BigQuery
Free Trial is available
Ratings
Meets Requirements
9.2
65
8.8
612
Ease of Use
8.9
66
8.7
626
Ease of Setup
9.2
31
8.8
401
Ease of Admin
8.6
23
8.5
224
Quality of Support
8.8
60
8.4
564
Has the product been a good partner in doing business?
9.3
22
8.7
217
Product Direction (% positive)
9.8
61
9.2
600
Features by Category
Management
8.4
45
8.6
123
8.4
44
8.3
121
Functionality
9.1
47
9.0
121
9.1
47
9.1
124
9.3
44
9.0
124
9.1
47
8.9
123
9.1
45
9.4
124
Data Management
Not enough data
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
Integration
Not enough data
8.6
204
|
Verified
Not enough data
8.6
216
|
Verified
Not enough data
8.6
204
|
Verified
Deployment
Not enough data
7.8
190
|
Verified
Not enough data
9.1
215
|
Verified
Performance
Not enough data
9.1
220
|
Verified
Security
Not enough data
8.7
211
|
Verified
Not enough data
9.2
217
|
Verified
Generative AI
Not enough data
7.7
132
Not enough data
7.9
129
Storage
Not enough data
9.1
70
Not enough data
8.8
70
Availability
Not enough data
8.4
62
Not enough data
8.5
66
Not enough data
8.6
68
Performance
Not enough data
8.5
65
Security
Not enough data
8.7
70
Not enough data
8.8
69
Not enough data
8.4
69
Not enough data
8.7
65
Support
Not enough data
8.7
66
Not enough data
8.9
66
Centralized computation
Not enough data
9.1
27
Localized computation
Not enough data
8.5
28
Statistical Tool
Not enough data
8.7
78
Not enough data
9.0
79
Not enough data
8.8
79
Data Analysis
Not enough data
9.3
78
Not enough data
9.1
79
Decision Making
Not enough data
8.8
80
Not enough data
8.7
78
Not enough data
8.7
80
Not enough data
8.7
78
Generative AI
Not enough data
7.5
51
Not enough data
7.8
51
Marketing Operations
Not enough data
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
Campaign Activity
Not enough data
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
Agentic AI - Marketing Analytics
Not enough data
8.8
16
Not enough data
9.6
16
Not enough data
8.3
16
Database
Not enough data
8.8
178
Not enough data
8.9
176
Not enough data
8.8
170
Integrations
Not enough data
8.4
139
Not enough data
8.6
136
Platform
Not enough data
8.9
153
Not enough data
8.9
168
Not enough data
8.6
136
Processing
Not enough data
9.3
170
Not enough data
9.1
164
Data Transformation
Not enough data
8.8
288
Not enough data
9.3
295
Connectivity
Not enough data
8.1
256
Not enough data
8.2
254
Not enough data
8.7
283
Not enough data
8.8
274
Operations
Not enough data
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
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
Azure Data Factory and Google Cloud BigQuery are categorized as ETL Tools and Big Data Integration Platforms
Unique Categories
Azure Data Factory has no unique categories
Google Cloud BigQuery is categorized as Columnar Databases, Big Data Processing and Distribution, Big Data Analytics, Marketing Analytics, Predictive Analytics, Data Warehouse, and Data Clean Room
Reviews
Reviewers' Company Size
Azure Data Factory
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Google Cloud BigQuery
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
32.9%
Computer Software
12.2%
Financial Services
6.1%
Retail
4.9%
Airlines/Aviation
4.9%
Other
39.0%
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%
Alternatives
Discussions
Is Azure data Factory an ETL tool?
2 Comments
AG
yesRead more
Azure Data Factory has no more discussions with answers
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
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