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Compare Google Cloud SQL and MongoDB 
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At a Glance
Market Segments
Mid-Market (40.7% of reviews)
Small-Business (58.8% of reviews)
Entry-Level Pricing
Pay As You Go Per Month
No pricing available
Google Cloud SQL
Star Rating
(352)4.5 out of 5
Market Segments
Mid-Market (40.7% of reviews)
Entry-Level Pricing
Pay As You Go Per Month
Free Trial is available
Browse all 3 pricing plansMongoDB
Star Rating
(17)4.6 out of 5
Market Segments
Small-Business (58.8% of reviews)
Entry-Level Pricing
No pricing available
Learn more about MongoDBSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Google Cloud SQL excels in its ACID compliance with a score of 9.2, ensuring reliable transactions, while MongoDB, with a score of 8.6, is noted for its eventual consistency model, which may not suit all transactional needs.
- Reviewers mention that Google Cloud SQL's query language is highly rated at 9.3, making it easier for users familiar with SQL to perform complex queries, whereas MongoDB's query language, scoring 8.7, can be less intuitive for those accustomed to traditional relational databases.
- G2 users highlight Google Cloud SQL's robust backup and recovery features, scoring 9.0, which provide peace of mind for data safety, while MongoDB's backup capabilities, rated at 8.6, may require additional configuration and management.
- Users on G2 appreciate Google Cloud SQL's data migration ease, scoring 8.9, which simplifies moving data from other databases, while MongoDB's score of 8.2 indicates that users find its migration process more challenging and less straightforward.
- Reviewers say that Google Cloud SQL's network security features, rated at 9.4, are robust and provide comprehensive protection, while MongoDB, with a score of 9.0, offers solid security but may not have the same level of built-in features for enterprise environments.
- Users report that Google Cloud SQL's performance analysis tools, scoring 9.1, are highly effective for monitoring and optimizing database performance, whereas MongoDB's performance analysis features, rated at 8.8, may not provide the same depth of insights for users looking to fine-tune their databases.
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
249
8.9
16
Ease of Use
9.2
256
9.1
16
Ease of Setup
9.2
109
9.2
8
Ease of Admin
9.1
97
9.2
6
Quality of Support
8.8
243
8.9
15
Has the product been a good partner in doing business?
9.0
95
9.2
6
Product Direction (% positive)
9.4
245
9.3
16
Features by Category
Management
8.8
94
8.9
14
8.9
96
8.8
14
9.2
100
8.7
14
9.0
98
8.6
14
9.1
98
8.7
13
Maintenance
9.0
98
8.2
13
9.1
103
8.6
13
8.7
98
8.8
12
Security
9.2
98
8.6
13
9.2
99
8.8
13
Management
9.1
107
Not enough data
9.3
107
Not enough data
9.2
101
Not enough data
9.3
100
Not enough data
Support
8.9
107
Not enough data
9.1
107
Not enough data
8.9
103
Not enough data
8.9
104
Not enough data
Security
9.1
102
Not enough data
9.1
105
Not enough data
9.2
105
Not enough data
9.2
109
Not enough data
Performance
9.1
108
Not enough data
9.1
104
Not enough data
9.0
104
Not enough data
8.8
102
Not enough data
9.0
102
Not enough data
Database Features
9.2
128
Not enough data
9.2
130
Not enough data
9.1
128
Not enough data
9.0
127
Not enough data
9.3
124
Not enough data
8.9
124
Not enough data
9.3
125
Not enough data
Configuration
9.2
91
Not enough data
8.7
84
Not enough data
9.0
90
Not enough data
8.9
79
Not enough data
9.4
86
Not enough data
Database Administration
8.9
86
Not enough data
8.8
82
Not enough data
8.8
81
Not enough data
Availability
9.2
92
Not enough data
9.2
90
Not enough data
8.9
85
Not enough data
8.9
83
Not enough data
Security
8.7
73
Not enough data
9.1
79
Not enough data
8.9
74
Not enough data
Data Management
9.2
81
Not enough data
8.7
75
Not enough data
Categories
Categories
Shared Categories
Google Cloud SQL and MongoDB are categorized as Database Management Systems (DBMS)
Unique Categories
Google Cloud SQL is categorized as Relational Databases and Database as a Service (DBaaS)
MongoDB has no unique categories
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
23.1%
Computer Software
17.8%
Staffing and Recruiting
6.5%
Banking
5.9%
Non-Profit Organization Management
4.2%
Other
42.4%
Information Technology and Services
35.3%
Computer Software
35.3%
Telecommunications
5.9%
Mechanical or Industrial Engineering
5.9%
Financial Services
5.9%
Other
11.8%
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?
1 Comment
HC
Cloud SQL automates tasks such as: Backups, Replication, Patches, Encryption, Storage capacity increases.Read more
What is Compose Hosted MongoDB used for?
1 Comment
MG
It is used for distributed database managementRead more
MongoDB has no more discussions with answers
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