Google Cloud SQL vs MongoDB Atlas comparison

Google and MongoDB are both solutions in the Database as a Service (DBaaS) category. Google is ranked #4 with an average rating of 7.9, while MongoDB is ranked #3 with an average rating of 8.4. Google holds a 15.4% mindshare in DS, compared to MongoDB’s 14.1% mindshare. Additionally, 100% of Google users are willing to recommend the solution, compared to 96% of MongoDB users who would recommend it.

Google Cloud SQL

Read 22 Google Cloud SQL reviews

2,671 Views
2,416 Comparison Views

100% willing to recommend

MongoDB Atlas

Read 49 MongoDB Atlas reviews

3,573 Views
2,156 Comparison Views

96% willing to recommend

Google Cloud SQL

MongoDB Atlas

Comparison Buyer's Guide

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Executive SummaryUpdated on Aug 12, 2024

Google Cloud SQL and MongoDB Atlas compete in the managed database services category. Google Cloud SQL has the upper hand in SQL database management, while MongoDB Atlas is better suited for NoSQL databases with flexible schema design.

Features: Google Cloud SQL offers automated backups, high availability, and seamless integration with other Google Cloud services. MongoDB Atlas includes rich querying capabilities, horizontal scaling, and global clusters.

Room for Improvement: Google Cloud SQL needs better cost management tools and more comprehensive logging features. MongoDB Atlas can improve support responsiveness and documentation clarity.

Ease of Deployment and Customer Service: Google Cloud SQL is known for its straightforward deployment process and robust customer service. MongoDB Atlas is easy to deploy but has slightly lower marks for customer service.

Pricing and ROI: Google Cloud SQL is more affordable, especially for smaller projects, with good ROI through efficient resource management. MongoDB Atlas, while offering significant features, is seen as relatively more expensive.

To learn more, read our detailed Google Cloud SQL vs. MongoDB Atlas Report (Updated: June 2025).

Buyer's Guide

Google Cloud SQL vs. MongoDB Atlas

June 2025

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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

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

Ranking in other categories

Managed NoSQL Databases (7th)

Mindshare comparison

As of June 2025, in the Database as a Service (DBaaS) category, the mindshare of Google Cloud SQL is 15.4%, down from 18.5% compared to the previous year. The mindshare of MongoDB Atlas is 14.1%, down from 15.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Database as a Service (DBaaS)

Featured Reviews

Prathap Sankar

Analytics Delivery Manager at Tredence Inc.

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…

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Laksiri Bala

DB Architect / Consultant at Virtusa Global

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.

Read full review

Quotes from Members

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

Pros

"The product is scalable."

"The implementation part of the product was easy."

"The deployment model allows for significant control and flexibility."

"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."

"The solution is easy to use. I am impressed with the tool's features and functionality."

"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."

"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."

"It's SQL. SQL is so easy if you know something about databases. It's easy to learn."

More Google Cloud SQL pros

"The initial setup is straightforward."

"The price of MongoDB Atlas is reasonable, which is why many organizations, including mine, are opting for it."

"The speed of it is the most valuable feature."

"This solution is very helpful due to its ease of use."

"The product allows us to easily set up and store large amounts of unstructured data."

"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 features, including built-in backup, all under the same roof, without the need for external tools."

"It is nice because our developers create tables whenever they need to sync data."

"The auto-scaling feature is the most valuable aspect."

More MongoDB Atlas pros

Cons

"I would appreciate more flexibility with specific extensions applicable to engines like PostgreSQL. This would enhance the capabilities of Google Cloud SQL."

"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."

"The overall documentation and the connectors need improvement."

"The purging of the data could be better."

"The monitoring part could be better."

"I am yet to explore a lot of features that are present in this solution. However, it would be good if more documentation is available for this solution. This would help us in preparing for the certification exam and understand it better. Currently, we don't have much documentation. We do the labs for 20 or 25 minutes, but we can't capture and download anything."

"I would like to see better availability of the product in different regions. It should also improve the security with encryption."

"I would appreciate more flexibility with specific extensions applicable to engines like PostgreSQL."

More Google Cloud SQL cons

"The speed when combining two documents is concerning."

"They could explore ways to facilitate deploying MongoDB containers within the platform."

"The initial setup is not too difficult but can be somewhat tricky."

"It would be better if there were more integration capabilities with other products."

"Customer support needs improvement knowledge-wise."

"Based on its own habitat, it's not ACID compliant. If it had an ACID compliant option, it would be more useful for database administration."

"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 UI is not currently designed in a manner to make it possible for a non-technical person or a layman to update the database easily."

More MongoDB Atlas cons

Pricing and Cost Advice

"You need to pay extra costs for backup and replication."

"From a financial perspective, Google Cloud SQL is on the cheaper side."

"The pricing is very much an important factor as to why we use this solution."

"The solution is affordable."

"It is not expensive, especially considering the significant reduction in database management time."

"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 tool is free since it's an open-source product."

"The solution is expensive overall. It does not require a license but if you want the support then you will need to purchase the license. They use a pay-as-you-go model and you are able to receive some discounts by making longer usage commitments."

"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 pricing is acceptable for enterprise tier."

"The pricing and licensing is great."

"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."

"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."

"The pricing is good. We originally chose it over DynamoDB because of the pricing."

More MongoDB Atlas pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Computer Software Company

13%

University

Educational Organization

Computer Software Company

19%

Financial Services Firm

15%

Comms Service Provider

Healthcare Company

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.

See all answers

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.

See all answers

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...

See all answers

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...

See all answers

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.

See all answers

What needs improvement with MongoDB Atlas?

There is nothing about MongoDB Atlas I would like to improve or any weak points at this time. I have not thought through what other features I would like to see included in future updates. MongoDB ...

See all answers

Comparisons

Microsoft Azure SQL Database vs Google Cloud SQL

Compared 39% of the time

Amazon RDS vs Google Cloud SQL

Compared 35% of the time

Oracle Database as a Service vs Google Cloud SQL

Compared 8% of the time

Google Cloud Spanner vs Google Cloud SQL

Compared 4% of the time

Oracle Exadata Cloud at Customer vs Google Cloud SQL

Compared 3% of the time

More Google Cloud SQL Competitors

Amazon RDS vs MongoDB Atlas

Compared 40% of the time

Microsoft Azure SQL Database vs MongoDB Atlas

Compared 15% of the time

MongoDB vs MongoDB Atlas

Compared 7% of the time

Amazon DocumentDB vs MongoDB Atlas

Compared 6% of the time

Upstash vs MongoDB Atlas

Compared 5% of the time

More MongoDB Atlas Competitors

Product Reports

Buyer's Guide

Google Cloud SQL

June 2025

Download Google Cloud SQL product report

Buyer's Guide

MongoDB Atlas

May 2025

Download MongoDB Atlas product report

Also Known As

No data available

Atlas

Overview

Google Cloud SQL is a fully-managed database service that makes it easy to set up, maintain, manage, and administer your relational PostgreSQL and MySQL databases in the cloud. Google Cloud SQL offers high performance, scalability, and convenience. Hosted on Google Cloud Platform, Cloud SQL provides a database infrastructure for applications running anywhere.

Google

MongoDB Atlas offers a cloud-based database service known for speed, scalability, ease of use, and flexibility. Its robust features and advanced security measures support various business needs, making it ideal for unstructured data management.

MongoDB Atlas maximizes data handling capabilities by providing a seamless integration and high availability environment. The platform's schemaless architecture and rich query support make it suitable for complex data processing. With cloud-based infrastructure, deployment and maintenance are simplified, serving sectors such as healthcare, finance, and more. Organizations benefit from autoscaling, clustering, and APIs for effective project management. Continuous improvements in user experience, cost-effectiveness, query performance, and security are expected to meet evolving expectations.

What are the most important features?

Speed: Optimized for fast data handling and processing.
Scalability: Adapts to growing data needs without hassle.
Ease of Use: User-friendly interface for efficient navigation.
Flexibility: Supports unstructured data with ease.
Integration: Seamlessly connects with cloud environments.
High Availability: Ensures uninterrupted data access and operations.
Advanced Security: Protects data with robust security measures.
Schemaless Architecture: Enables dynamic data structure management.
Rich Query Support: Facilitates complex queries and analytics.

What benefits and ROI should be considered?

Easy Deployment: Streamlines the setup process in cloud environments.
Efficient Project Management: APIs and tools enhance workflow.
Cost-Effectiveness: Potential for more flexible pricing models.
Data Management: Automates backups and supports clustering.
Advanced Tools: Enables comprehensive data processing capabilities.

MongoDB Atlas is widely implemented in industries such as healthcare, finance, and technology. It serves applications requiring high availability and scalability, handling tasks from patient data management to real-time analytics. With its adaptable infrastructure, Atlas supports diverse use cases from IoT integration to transactional processing in cloud environments.

MongoDB

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.

Buyer's Guide

Google Cloud SQL vs. MongoDB Atlas

June 2025

Free Report: Google Cloud SQL vs. MongoDB Atlas

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