Compare Google Cloud BigQuery and Google Cloud SQL 
At a Glance
Market Segments
Enterprise (38.1% of reviews)
Mid-Market (40.3% of reviews)
Entry-Level Pricing
Free
Pay As You Go Per Month
Google Cloud BigQuery
Star Rating
(1,224)4.5 out of 5
Market Segments
Enterprise (38.1% of reviews)
Pros & Cons
Entry-Level Pricing
Free
Browse all 5 pricing plansGoogle Cloud SQL
Star Rating
(365)4.5 out of 5
Market Segments
Mid-Market (40.3% of reviews)
Pros & Cons
Entry-Level Pricing
Pay As You Go Per Month
Browse all 3 pricing plansGoogle Cloud BigQuery vs Google Cloud SQL
When assessing the two solutions, reviewers found Google Cloud SQL easier to use, set up, and administer. Reviewers also preferred doing business with Google Cloud SQL overall.
- Reviewers felt that Google Cloud SQL meets the needs of their business better than Google Cloud BigQuery.
- When comparing quality of ongoing product support, reviewers felt that Google Cloud SQL is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Google Cloud SQL 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
Google Cloud SQL
Committed Use Discounts
Pay As You Go
Per Month
You can lower the cost by purchasing 1-year or 3-year commitment plans. Visit cloud.google.com/sql/pricing to check pricing for your region.
- CPU and memory
- Other features are available only through on-demand model
Free Trial
Google Cloud BigQuery
Free Trial is available
Google Cloud SQL
Free Trial is available
Ratings
Meets Requirements
8.8
626
9.1
254
Ease of Use
8.7
642
9.2
262
Ease of Setup
8.7
416
9.1
115
Ease of Admin
8.5
227
9.0
98
Quality of Support
8.3
573
8.8
246
Has the product been a good partner in doing business?
8.6
220
9.0
96
Product Direction (% positive)
9.3
614
9.4
251
Features by Category
Management
8.6
121
Not enough data
8.3
119
Not enough data
Functionality
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
Not enough data
Data Management
8.9
224
|
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
Not enough data
Integration
8.5
202
|
Verified
Not enough data
8.6
214
|
Verified
Not enough data
8.6
201
|
Verified
Not enough data
Deployment
7.7
186
|
Verified
Not enough data
9.1
223
|
Verified
Not enough data
Performance
9.1
233
|
Verified
Not enough data
Security
8.7
208
|
Verified
Not enough data
9.2
214
|
Verified
Not enough data
Generative AI
7.6
127
Not enough data
7.8
124
Not enough data
Management
Not enough data
8.8
94
Not enough data
8.8
96
Not enough data
9.2
100
Not enough data
8.9
98
Not enough data
9.1
98
Maintenance
Not enough data
9.0
99
Not enough data
9.1
104
Not enough data
8.7
99
Security
Not enough data
9.2
98
Not enough data
9.2
99
Management
Not enough data
9.1
106
Not enough data
9.3
106
Not enough data
9.2
101
Not enough data
9.3
101
Support
Not enough data
8.9
106
Not enough data
9.1
107
Not enough data
8.9
102
Not enough data
8.9
103
Security
Not enough data
9.1
101
Not enough data
9.1
104
Not enough data
9.2
104
Not enough data
9.2
108
Performance
Not enough data
9.1
110
Not enough data
9.0
103
Not enough data
9.0
104
Not enough data
8.8
101
Not enough data
9.0
101
Database Features
Not enough data
9.2
130
Not enough data
9.2
132
Not enough data
9.1
130
Not enough data
9.0
130
Not enough data
9.3
124
Not enough data
8.9
124
Not enough data
9.2
125
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
Not enough data
9.0
78
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
79
Not enough data
8.7
77
Not enough data
8.7
79
Not enough data
8.7
77
Not enough data
Generative AI
7.5
50
Not enough data
7.8
50
Not enough data
Marketing Operations
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
Not enough data
Campaign Activity
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
Not enough data
Agentic AI - Marketing Analytics
8.7
15
Not enough data
9.6
15
Not enough data
8.2
15
Not enough data
Configuration
Not enough data
9.2
92
Not enough data
8.7
85
Not enough data
9.0
91
Not enough data
8.9
80
Not enough data
9.4
87
Database Administration
Not enough data
8.9
87
Not enough data
8.8
83
Not enough data
8.8
82
Availability
Not enough data
9.2
93
Not enough data
9.2
91
Not enough data
8.9
86
Not enough data
8.9
84
Security
Not enough data
8.7
74
Not enough data
9.1
80
Not enough data
8.9
75
Data Management
Not enough data
9.2
82
Not enough data
8.8
76
Database
8.8
175
Not enough data
8.9
173
Not enough data
8.7
167
Not enough data
Integrations
8.4
136
Not enough data
8.5
133
Not enough data
Platform
8.9
151
Not enough data
8.9
165
Not enough data
8.5
133
Not enough data
Processing
9.2
168
Not enough data
9.1
161
Not enough data
Data Transformation
8.8
283
Not enough data
9.3
293
Not enough data
Connectivity
8.1
251
Not enough data
8.2
249
Not enough data
8.7
278
Not enough data
8.7
269
Not enough data
Operations
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
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 Google Cloud SQL 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
Google Cloud SQL is categorized as Relational Databases, Database Management Systems (DBMS), and Database as a Service (DBaaS)
Reviews
Reviewers' Company Size
Google Cloud BigQuery
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Google Cloud SQL
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
7.0%
Financial Services
6.5%
Marketing and Advertising
5.2%
Other
51.7%
Information Technology and Services
23.6%
Computer Software
17.8%
Staffing and Recruiting
6.4%
Banking
5.8%
Non-Profit Organization Management
4.1%
Other
42.3%
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 Cloud SQL?
3 Comments
UZ
Google Cloud SQL is a fully-managed database service that makes it easy to set up, maintain, manage, and administer your relational databases on Google Cloud...Read more
How much is Google Cloud SQL?
2 Comments
PS
It depends on different type of instances and configuration you use. It starts from 0.01 USD per hour.Read more
What is Google Cloud SQL used for?
2 Comments
HC
Cloud SQL automates tasks such as: Backups, Replication, Patches, Encryption, Storage capacity increases.Read more
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