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Google Cloud SQL vs MongoDB Atlas comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Aug 12, 2024

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Google Cloud SQL
Ranking in Database as a Service (DBaaS)
4th
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
22
Ranking in other categories
No ranking in other categories
MongoDB Atlas
Ranking in Database as a Service (DBaaS)
3rd
Average Rating
8.4
Reviews Sentiment
7.4
Number of Reviews
48
Ranking in other categories
Managed NoSQL Databases (6th)
 

Mindshare comparison

As of April 2025, in the Database as a Service (DBaaS) category, the mindshare of Google Cloud SQL is 16.5%, down from 18.6% compared to the previous year. The mindshare of MongoDB Atlas is 14.5%, down from 14.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Database as a Service (DBaaS)
 

Featured Reviews

Prathap Sankar - PeerSpot reviewer
Gain control and flexibility with customizable tools but has slower performance
I am majorly working in Google Cloud SQL for building my applications Google Cloud SQL provides complete customization options, along with a dashboarding tool and a comprehensive suite of tools that can be used to customize and build any application needed. The deployment model allows for…
Laksiri Bala - PeerSpot reviewer
Room for improvement in data handling leads to enhanced cost-effective data management performance
It would be beneficial if MongoDB Atlas could better support OLTP aspects and data frames, as well as enhance its capabilities for data pipelines and visualization dashboards. Furthermore, supporting the medallion architecture could be a valuable addition, and incorporating improved spatial and vector handling for geographical data could make it more competitive. Enhancing vector processing for AI capabilities would also be critical.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The valuable feature of Google Cloud SQL is its high availability option. The product is stable."
"Its most valuable feature is that it's scalable. I can start off with a base of a lot of data and move as much as I want and it's the same as if asked to do a lot of infrastructure changes."
"Google Cloud SQL provides complete customization options, along with a dashboarding tool and a comprehensive suite of tools that can be used to customize and build any application needed."
"The most valuable feature for us is the Postgres on Google Cloud SQL since it supports most of the features we need."
"From a database management perspective, it provides services without the need for me to worry about backups, scaling, or other operational issues."
"My suggestion to anyone thinking about this solution is to jump into it head-first!"
"It supports different databases, like Postgres and MySQL."
"The solution is easy to use. I am impressed with the tool's features and functionality."
"The most valuable feature is the schemaless architecture."
"The features that I have found most valuable include the very easy integrations. The integrations are fantastic. I have not faced any challenges from the integration standpoint."
"It is nice because our developers create tables whenever they need to sync data."
"It can store data as a flat file, similar to a file system."
"The price of MongoDB Atlas is reasonable, which is why many organizations, including mine, are opting for it."
"MongoDB Atlas is a database that is quite fast, stable, and reliable."
"I am impressed with the tool's integrations."
"The solution is easily scalable and manageable. Tools can be easily added to the solution."
 

Cons

"The most vulnerable problem with Google SQL is that while you can customize your access control list, it provides you with a public IP address."
"They could improve documentation and dashboard stability for efficient user experience and database management."
"For data analysis, the AI area of the product has certain shortcomings where improvements are required."
"Google Cloud SQL needs to improve its support for high-end I/O operations. On-prem systems with high I/O capabilities perform better, as Google Cloud SQL takes more time to handle the same tasks."
"The overall documentation and the connectors need improvement."
"To create a seamless data integration, the title integration of these databases with the data integration platforms is essential. This is what we would like to have in a future release."
"Google Cloud SQL still needs better connectivity to outside, existing data sources."
"The product's user interface could be more user-friendly to improve the overall user experience."
"They could explore ways to facilitate deploying MongoDB containers within the platform."
"I would like to have better performance for user experience with the solution."
"It would be better if there were more integration capabilities with other products."
"The installation was straightforward except for the network hardware because it was a little complicated to make the connection with our VPC on AWS."
"MongoDB Atlas should improve its user experience by providing better explanations or a wizard for people working with its UI."
"A few areas that we have noticed as being problematic with the MongoDB Atlas include user access to the platform. Currently, it is difficult to restrict and control what actions a user can perform within the solution, which poses a challenge from an internal auditing perspective."
"MongoDB Atlas should add more APIs in their Terraform module because sometimes I find it difficult to find the resources in their Terraform model."
"The product does not have ORM."
 

Pricing and Cost Advice

"It is not expensive, especially considering the significant reduction in database management time."
"You need to pay extra costs for backup and replication."
"From a financial perspective, Google Cloud SQL is on the cheaper side."
"It's really cheap. It wouldn't be more than, I believe it's around 50 euro per month for running a cloud SQL."
"While the platform’s pricing may be higher, it aligns with industry standards, considering the quality of service and features provided."
"The pricing is very much an important factor as to why we use this solution."
"The solution is affordable."
"In my previous company, the product allowed use to build a database in a highly regulated environment with the ability to get distributed storage. We used MongoDB as a distributed storage to set up this environment for a critical business application with millions of dollars."
"We pay for the license on a monthly basis. It's not cheap or expensive. For smaller companies, it's definitely expensive."
"For our service, it was around 300 to 600 euros per month, which was acceptable for our customers."
"Pricing could always be better."
"We're currently using the Atlas for the night and don't require a license. However, it can be a problem if you want to use their enterprise environment. Then you need to purchase the license."
"We pay for a license."
"The price of MongoDB Atlas is highly affordable."
"The pricing is acceptable for enterprise tier."
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Computer Software Company
13%
University
8%
Retailer
8%
Computer Software Company
19%
Financial Services Firm
16%
Comms Service Provider
6%
Manufacturing Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Google Cloud SQL?
The implementation part of the product was easy.
What is your experience regarding pricing and costs for Google Cloud SQL?
The cost is expensive, especially for services like BigQuery, which charge based on query operations. We pay as we use, with no fixed cost.
What needs improvement with Google Cloud SQL?
Google Cloud SQL needs to improve its support for high-end I/O operations. On-prem systems with high I/O capabilities perform better, as Google Cloud SQL takes more time to handle the same tasks. T...
What do you like most about MongoDB Atlas?
There are many valuable features, but scalability stands out. It can scale across zones. You can define multiple nodes. They have also partnered with AWS, offering great service with multiple featu...
What is your experience regarding pricing and costs for MongoDB Atlas?
The pricing is quite acceptable and scalable. For our service, it was around 300 to 600 euros per month, which was acceptable for our customers. We could scale up for better performance and scale d...
What needs improvement with MongoDB Atlas?
I am not an expert on what improvements could be made to MongoDB. The service is continually evolving with new features while maintaining reasonable pricing, making it attractive for developers.
 

Also Known As

No data available
Atlas
 

Overview

 

Sample Customers

BeDataDriven, CodeFutures, Daffodil, GenieConnect, KiSSFLOW, LiveHive, SulAm_rica, Zync
Wells Fargo, Forbes, Ulta Beauty, Bosch, Sanoma, Current (a Digital Bank), ASAP Log, SBB, Zebra Technologies, Radial, Kovai, Eni, Accuhit, Cognigy, and Payload.
Find out what your peers are saying about Google Cloud SQL vs. MongoDB Atlas and other solutions. Updated: March 2025.
845,040 professionals have used our research since 2012.