Compare Azure SQL Database and Google Cloud BigQuery 
Featured Products
At a Glance
Market Segments
Enterprise (39.8% of reviews)
Enterprise (38.0% of reviews)
Entry-Level Pricing
No pricing available
Free
Azure SQL Database
Star Rating
(237)4.4 out of 5
Market Segments
Enterprise (39.8% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Azure SQL DatabaseGoogle Cloud BigQuery
Star Rating
(1,225)4.5 out of 5
Market Segments
Enterprise (38.0% of reviews)
Pros & Cons
Entry-Level Pricing
Free
Browse all 5 pricing plansAzure SQL Database vs Google Cloud BigQuery
When assessing the two solutions, reviewers found Azure SQL Database easier to use and administer. Reviewers also felt that Azure SQL Database was easier to do business with overall. However, reviewers felt that the products are equally easy to set up.
- Reviewers felt that Azure SQL Database meets the needs of their business better than Google Cloud BigQuery.
- When comparing quality of ongoing product support, reviewers felt that Azure SQL Database is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Azure SQL Database over Google Cloud BigQuery.
Pricing
Entry-Level Pricing
Azure SQL Database
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 SQL Database
No trial information availableGoogle Cloud BigQuery
Free Trial is available
Ratings
Meets Requirements
9.0
195
8.8
627
Ease of Use
8.8
194
8.7
643
Ease of Setup
8.7
108
8.7
417
Ease of Admin
8.6
85
8.5
227
Quality of Support
8.8
187
8.3
573
Has the product been a good partner in doing business?
8.8
81
8.6
221
Product Direction (% positive)
9.5
180
9.3
615
Features by Category
Management
Not enough data
8.6
121
Not enough data
8.3
119
Functionality
Not enough data
9.0
119
Not enough data
9.1
123
Not enough data
9.0
123
Not enough data
8.9
122
Not enough data
9.3
122
Data Management
Not enough data
8.9
225
|
Verified
Not enough data
8.3
210
|
Verified
Not enough data
8.9
215
|
Verified
Not enough data
8.6
219
|
Verified
Not enough data
8.3
204
|
Verified
Not enough data
8.6
201
|
Verified
Integration
Not enough data
8.5
202
|
Verified
Not enough data
8.6
214
|
Verified
Not enough data
8.6
201
|
Verified
Deployment
Not enough data
7.7
186
|
Verified
Not enough data
9.1
223
|
Verified
Performance
Not enough data
9.1
233
|
Verified
Security
Not enough data
8.7
208
|
Verified
Not enough data
9.2
214
|
Verified
Generative AI
Not enough data
7.6
127
Not enough data
7.8
124
Management
8.9
74
Not enough data
9.3
74
Not enough data
8.7
68
Not enough data
8.6
73
Not enough data
Support
8.8
75
Not enough data
8.7
76
Not enough data
8.7
74
Not enough data
8.6
74
Not enough data
Security
8.7
72
Not enough data
8.9
76
Not enough data
9.1
75
Not enough data
9.0
76
Not enough data
Performance
8.9
74
Not enough data
8.7
71
Not enough data
8.7
72
Not enough data
8.8
68
Not enough data
8.7
71
Not enough data
Database Features
9.4
100
Not enough data
9.4
103
Not enough data
9.2
101
Not enough data
9.2
101
Not enough data
9.1
101
Not enough data
8.6
94
Not enough data
8.8
95
Not enough data
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
78
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
79
Not enough data
8.7
77
Not enough data
8.7
79
Not enough data
8.7
77
Generative AI
Not enough data
7.5
50
Not enough data
7.8
50
Marketing Operations
Not enough data
8.8
65
Not enough data
9.2
64
Not enough data
8.9
64
Not enough data
9.4
65
Not enough data
8.8
63
Not enough data
8.4
62
Campaign Activity
Not enough data
9.1
67
Not enough data
9.5
67
Not enough data
8.7
64
Not enough data
9.2
61
Not enough data
8.9
62
Not enough data
9.0
64
Agentic AI - Marketing Analytics
Not enough data
8.7
15
Not enough data
9.6
15
Not enough data
8.2
15
Configuration
8.9
78
Not enough data
8.5
75
Not enough data
8.9
79
Not enough data
8.1
72
Not enough data
9.0
77
Not enough data
Database Administration
8.7
76
Not enough data
8.8
76
Not enough data
8.7
75
Not enough data
Availability
9.1
80
Not enough data
9.2
78
Not enough data
8.6
77
Not enough data
9.0
76
Not enough data
Security
8.8
66
Not enough data
9.1
68
Not enough data
8.6
65
Not enough data
Data Management
8.7
71
Not enough data
8.6
65
Not enough data
Database
Not enough data
8.8
175
Not enough data
8.9
173
Not enough data
8.7
167
Integrations
Not enough data
8.4
136
Not enough data
8.5
133
Platform
Not enough data
8.9
151
Not enough data
8.9
165
Not enough data
8.5
133
Processing
Not enough data
9.2
168
Not enough data
9.1
161
Data Transformation
Not enough data
8.8
283
Not enough data
9.3
293
Connectivity
Not enough data
8.1
251
Not enough data
8.2
249
Not enough data
8.7
278
Not enough data
8.7
269
Operations
Not enough data
8.5
279
Not enough data
8.7
277
Not enough data
8.3
255
Not enough data
8.4
262
Not enough data
8.5
254
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 SQL Database and Google Cloud BigQuery share no categories
Unique Categories
Azure SQL Database is categorized as Database as a Service (DBaaS) and Relational Databases
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
Reviews
Reviewers' Company Size
Azure SQL Database
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
24.8%
Computer Software
20.4%
Financial Services
4.4%
Hospital & Health Care
4.4%
Computer & Network Security
3.1%
Other
42.9%
Information Technology and Services
16.1%
Computer Software
13.5%
Retail
7.0%
Financial Services
6.5%
Marketing and Advertising
5.2%
Other
51.8%
Alternatives
Discussions
What is Azure SQL Database used for?
3 Comments
PU
Azure SQL Database is used for storing, managing, and analyzing data in the cloud. It’s great for running applications, generating reports, and handling...Read more
Is Azure SQL Database free?
2 Comments
AD
There is a free tier, but for production workload you have to pay.Read more
Azure SQL Database 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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