Google Cloud SQL vs. MongoDB Atlas

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Google Cloud SQL
Score 8.7 out of 10
N/A
Google Cloud SQL is a database-as-a-service (DBaaS) with the capability and functionality of MySQL.
$0
per core hour
MongoDB Atlas
Score 8.6 out of 10
N/A
MongoDB Atlas is the company's automated managed cloud service, supplying automated deployment, provisioning and patching, and other features supporting database monitoring and optimization.
$57
per month
Pricing
Google Cloud SQLMongoDB Atlas
Editions & Modules
License - Express
$0
per core hour
License - Web
$0.01134
per core hour
Storage - for backups
$.08
per month per GB
HA Storage - for backups
$.08
per month per GB
Storage - HDD storage capacity
$.09
per month per GB
License - Standard
$0.13
per core hour
Storage - SSD storage capacity
$.17
per month per GB
HA Storage - HDD storage capacity
$.18
per month per GB
HA Storage - SSD storage capacity
$.34
per month per GB
License - Enterprise
$0.47
per core hour
Memory
$5.11
per month per GB
HA Memory
$10.22
per month per GB
vCPUs
$30.15
per month per vCPU
HA vCPUs
$60.30
per month per vCPU
Dedicated Clusters
$57
per month
Dedicated Multi-Reigon Clusters
$95
per month
Shared Clusters
Free
Offerings
Pricing Offerings
Google Cloud SQLMongoDB Atlas
Free Trial
YesNo
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Google Cloud SQLMongoDB Atlas
Considered Both Products
Google Cloud SQL
Chose Google Cloud SQL
- AWS RDS and Aurora is a just a notch above Google Cloud SQL as it provide boost in performance when required
- Google Cloud SQL Mysql Engine is Cloud based and better than native Mysql as it provides management of the server out of box
- Compared to a MongoDB it has a low …
MongoDB Atlas

No answer on this topic

Top Pros
Top Cons
Features
Google Cloud SQLMongoDB Atlas
Database-as-a-Service
Comparison of Database-as-a-Service features of Product A and Product B
Google Cloud SQL
9.1
19 Ratings
4% above category average
MongoDB Atlas
9.3
5 Ratings
6% above category average
Automatic software patching9.612 Ratings9.55 Ratings
Database scalability9.019 Ratings9.05 Ratings
Automated backups9.519 Ratings9.55 Ratings
Database security provisions9.219 Ratings9.55 Ratings
Monitoring and metrics8.518 Ratings9.55 Ratings
Automatic host deployment9.012 Ratings9.05 Ratings
Best Alternatives
Google Cloud SQLMongoDB Atlas
Small Businesses
SingleStore
SingleStore
Score 9.7 out of 10
SingleStore
SingleStore
Score 9.7 out of 10
Medium-sized Companies
SingleStore
SingleStore
Score 9.7 out of 10
SingleStore
SingleStore
Score 9.7 out of 10
Enterprises
SingleStore
SingleStore
Score 9.7 out of 10
SingleStore
SingleStore
Score 9.7 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Google Cloud SQLMongoDB Atlas
Likelihood to Recommend
9.2
(19 ratings)
10.0
(5 ratings)
Likelihood to Renew
9.0
(1 ratings)
-
(0 ratings)
Usability
9.0
(1 ratings)
-
(0 ratings)
Support Rating
6.4
(4 ratings)
10.0
(2 ratings)
Ease of integration
8.0
(1 ratings)
-
(0 ratings)
User Testimonials
Google Cloud SQLMongoDB Atlas
Likelihood to Recommend
Google
Although Google Cloud SQL has room for improvement by addressing a minor lack of features, its features and services keep it high among other SQL database products. It is very fast compared to others. Since it is cloud-based, maintenance is also easier. Integration capabilities are also more than expected.
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MongoDB
I would recommend MongoDB Atlas to every company who have a significant need in the NoSQL database and do not want to manage their infrastructure. Using MongoDB Atlas can significantly reduce your management time and cost, which saves valuable resources for other tasks. It also suits a smaller company as MongoDB Atlas scales up and down very quickly.
Read full review
Pros
Google
  • Highly scalable without worrying about sudden transaction explosion during peak hours.
  • Highly available with multiple geographical locations and regions for nearly 0 downtime to the users.
  • Extremely reliable and responsive for high latency applications due to superb networking at the core.
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MongoDB
  • DB Provisioning.
  • DB Management.
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Cons
Google
  • Increasing support for more database engines may enable a wider range of application needs to be met.
  • Implementing and updating cutting-edge security features on a constant basis.
  • Streamlining and enhancing the tools for transferring data to Google Cloud SQL from on-premises databases or other cloud providers.
Read full review
MongoDB
  • As an independent entity, MongoDB Atlas is not included in existing subscriptions from AWS or Azure, requiring an additional support plan and reliance on a third party.
Read full review
Usability
Google
Google Cloud SQL is similar to the long existing conventional DBs like Oracle RDBMS, MS SQL Server in terms of usability and much more robust and easy to manage than them. Most of the commands are almost identical to these DB platforms and thus, easy to learn, understand and start using. Also, being highly available, it brings a sense of reliability with Google Cloud SQL.
Read full review
MongoDB
No answers on this topic
Support Rating
Google
GCP support in general requires a support agreement. For small organizations like us, this is not affordable or reasonable. It would help if Google had a support mechanism for smaller organizations. It was a steep learning curve for us because this was our first entry into the cloud database world. Better documentation also would have helped.
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MongoDB
We love MongoDB support and have great relationship with them. When we decided to go with MongoDB Atlas, they sent a team of 5 to our company to discuss the process of setting up a Mongo cluster and walked us through. when we have questions, we create a ticket and they will respond very quickly
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Alternatives Considered
Google
Google SQL was great as a first SQL provision. It quickly enabled the apps to be built and scaled as needed for a while. It was robust and adaptable as needed and easy to export as needed when ready, depending on growth. Cost-wise, it's a good choice and requires little investment to get going.
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MongoDB
MongoDB Atlas has been in the market for very long time and there are bunch of documentation, training and support for it. It also is specifically designed for the use case similar to our project and big companies in the market uses them for very high load which made us confident about our choice.
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Return on Investment
Google
  • With managed database system, it has given us near 100% data availability
  • It has also improved web layer experience with faster processing and authentication using database fields
  • Google Cloud SQL also gels up well with Google Analytics and other analytics systems for us to join up different data points and process them for deeper dives and analysis
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MongoDB
  • Improved our maintainability
  • Reduced daily work compared to self-hosted solutions
  • Reasonable pricing compared to value
Read full review
ScreenShots