Compare Google Cloud SQL and MongoDB 
At a Glance
Market Segments
Mid-Market (40.3% of reviews)
Small-Business (38.1% of reviews)
Entry-Level Pricing
Pay As You Go Per Month
No pricing available
Google 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 plansMongoDB
Star Rating
(550)4.5 out of 5
Market Segments
Small-Business (38.1% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about MongoDBGoogle Cloud SQL vs MongoDB
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 MongoDB.
- 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 MongoDB.
Pricing
Entry-Level Pricing
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
MongoDB
No pricing availableFree Trial
Google Cloud SQL
Free Trial is available
MongoDB
No trial information availableRatings
Meets Requirements
9.1
254
8.8
426
Ease of Use
9.2
262
8.6
427
Ease of Setup
9.1
115
8.4
200
Ease of Admin
9.0
98
8.1
179
Quality of Support
8.8
246
8.5
371
Has the product been a good partner in doing business?
9.0
96
8.5
159
Product Direction (% positive)
9.4
251
9.1
408
Features by Category
Management
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
Not enough data
Maintenance
9.0
99
Not enough data
9.1
104
Not enough data
8.7
99
Not enough data
Security
9.2
98
Not enough data
9.2
99
Not enough data
Management
9.1
106
Not enough data
9.3
106
Not enough data
9.2
101
Not enough data
9.3
101
Not enough data
Support
8.9
106
Not enough data
9.1
107
Not enough data
8.9
102
Not enough data
8.9
103
Not enough data
Security
9.1
101
Not enough data
9.1
104
Not enough data
9.2
104
Not enough data
9.2
108
Not enough data
Performance
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
Not enough data
Database Features
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
Not enough data
Data Management
Not enough data
8.9
98
Not enough data
8.9
93
Not enough data
8.5
85
Not enough data
8.5
82
Availability
Not enough data
8.2
79
Not enough data
8.3
81
Not enough data
8.7
82
Performance
Not enough data
8.6
88
Security
Not enough data
8.4
84
Not enough data
8.7
88
Not enough data
8.5
82
Not enough data
8.6
81
Support
Not enough data
8.6
81
Not enough data
8.9
83
Not enough data
7.9
68
Agentic AI - AWS Marketplace
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Configuration
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
Not enough data
Database Administration
8.9
87
Not enough data
8.8
83
Not enough data
8.8
82
Not enough data
Availability
9.2
93
Not enough data
9.2
91
Not enough data
8.9
86
Not enough data
8.9
84
Not enough data
Security
8.7
74
Not enough data
9.1
80
Not enough data
8.9
75
Not enough data
Data Management
9.2
82
Not enough data
8.8
76
Not enough data
Database Features
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
Not enough data
Categories
Categories
Shared Categories
Google Cloud SQL and MongoDB share no categories
Unique Categories
Google Cloud SQL is categorized as Relational Databases, Database Management Systems (DBMS), and Database as a Service (DBaaS)
MongoDB is categorized as Document Databases and AWS Marketplace
Reviews
Reviewers' Company Size
Google Cloud SQL
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
MongoDB
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
23.6%
Computer Software
17.8%
Staffing and Recruiting
6.4%
Banking
5.8%
Non-Profit Organization Management
4.1%
Other
42.3%
Computer Software
22.8%
Information Technology and Services
21.1%
Internet
5.1%
Financial Services
3.9%
Education Management
2.9%
Other
44.2%
Alternatives
Discussions
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
What is MongoDB used for?
3 Comments
VK
MongoDB is a NoSQL database, that works on concepts of documents, and collections rather than tables and relations. Read more
How to make MongoDB to accept joins
2 Comments
AZ
As MongoDB is a document oriented Database. So data is distributed across different nodes and in order to apply joins, a data should be collected on a...Read more
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