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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 most valuable features are that it's easy to use, simple, and user-friendly."
"This is a stable solution and offers good performance."
"Google Cloud SQL is highly scalable."
"It directly provides robust data safety. It also offers various other storage options, such as Google Cloud Storage. These services ensure data security and redundancy. Furthermore, it includes different storage classes, allowing flexible data management tailored to specific needs."
"I found its storage and security to be the most valuable. It was a good experience. It is also very stable and scalable, and its support is perfect."
"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 implementation part of the product was easy."
"The product is scalable."
"For security reasons, I prefer MongoDB Atlas. It supports role-based access control, so you have an entity for each individual."
"MongoDB Atlas was explicitly designed to support IoT applications. Many databases offer features tailored for IoT use cases."
"The most beneficial MongoDB features for our workload are the ability to scale up and down using automatic sharding and clustering."
"MongoDB Atlas is a database that is quite fast, stable, and reliable."
"The most useful feature is the management of the backup."
"MongoDB Atlas is very easy to use and user-friendly, and you get what you're paying for."
"The product is user-friendly."
"It can store data as a flat file, similar to a file system."
 

Cons

"Google's technical support is good, but they tend to never reopen a case and to send us snippets from the publicly available documentation. It's not as helpful as you would expect, not just for Google Cloud SQL but for all of Google Cloud products."
"I would appreciate more flexibility with specific extensions applicable to engines like PostgreSQL. This would enhance the capabilities of Google Cloud SQL."
"The customer support should be improved."
"I would appreciate more flexibility with specific extensions applicable to engines like PostgreSQL."
"I would like to see better integration with all the different tools on the platform."
"The performance compared to AWS is not as fast, and the technical support could be better as they don't have a dedicated team, but mostly AI handles the support now."
"The monitoring part could be better."
"The purging of the data could be better."
"An area for improvement in MongoDB Atlas is that it does not support individual or personal database backup, though it supports cloud cluster backup."
"It would be better if there were more integration capabilities with other products."
"I am still new with it, but since I mentioned that I'm using this product for only the last six months and my experience with this product is good thus far, on a scale of one to ten, I would give MongoDB Atlas a six."
"MongoDB Atlas is effective for unstructured and semi-structured data, but when it comes to OLTP transactions, its performance declines."
"We had some edge cases where scalability was an issue where a node went offline, and we had to deal with that."
"MongoDB Atlas should improve its user experience by providing better explanations or a wizard for people working with its UI."
"When I edit a document from a document, a lot of clicking is involved, like changing data type manually from a drop-down. It would be super nice if I could just edit the document in a JSON format. The JSON-based document editor should have a multi-language feature. Also, it would be great if there was a connect option from Google Looker Studio."
"They could explore ways to facilitate deploying MongoDB containers within the platform."
 

Pricing and Cost Advice

"The pricing is very much an important factor as to why we use this solution."
"While the platform’s pricing may be higher, it aligns with industry standards, considering the quality of service and features provided."
"You need to pay extra costs for backup and replication."
"It's really cheap. It wouldn't be more than, I believe it's around 50 euro per month for running a cloud SQL."
"It is not expensive, especially considering the significant reduction in database management time."
"The solution is affordable."
"From a financial perspective, Google Cloud SQL is on the cheaper side."
"The tool is free since it's an open-source product."
"The pricing is acceptable for enterprise tier."
"MongoDB Atlas is more cost-effective than Amazon DocumentDB. It also has a pay-as-you-go pricing model. Apart from the standard licensing cost, you must also pay to get MongoDB Atlas technical support, which is expensive."
"The purchasing process through the AWS Marketplace was very good."
"The price of MongoDB Atlas is highly expensive to use and maintain. They are taking advantage of the users with such a high price."
"We pay for the license on a monthly basis. It's not cheap or expensive. For smaller companies, it's definitely expensive."
"It is too expensive. They need to work on this."
"The price of MongoDB Atlas is highly affordable."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
12%
University
8%
Retailer
7%
Computer Software Company
19%
Financial Services Firm
15%
Comms Service Provider
6%
Healthcare 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 price of MongoDB Atlas is reasonable, which is why many organizations, including mine, are opting for it.
What needs improvement with MongoDB Atlas?
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, supporti...
 

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: April 2025.
849,190 professionals have used our research since 2012.