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 7.8, while MongoDB is ranked #3 with an average rating of 8.5. Google holds a 16.5% mindshare in DS, compared to MongoDB’s 14.8% mindshare. Additionally, 100% of Google users are willing to recommend the solution, compared to 98% of MongoDB users who would recommend it.

Google Cloud SQL

Read 22 Google Cloud SQL reviews

3,451 Views
3,134 Comparison Views

100% willing to recommend

MongoDB Atlas

Read 47 MongoDB Atlas reviews

4,194 Views
2,515 Comparison Views

98% 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: March 2025).

Buyer's Guide

Google Cloud SQL vs. MongoDB Atlas

March 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 (5th)

Mindshare comparison

As of March 2025, in the Database as a Service (DBaaS) category, the mindshare of Google Cloud SQL is 16.5%, down from 18.8% compared to the previous year. The mindshare of MongoDB Atlas is 14.8%, up from 14.3% 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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Luca Botti

Partner at Red software systems

Supportive features enable effective data management and growth

I find MongoDB Atlas highly scalable and easy to use, with very good support. The pricing is quite scalable and applies to various scenarios, both for smaller and bigger companies. MongoDB Atlas has supported our data growth well, and my overall impression is very positive. It is easy to work with and has a reliable support structure. For structured data storage and performance, it provides a comprehensive solution, and the feedback was generally positive.

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Quotes from Members

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

Pros

"It supports different databases, like Postgres and MySQL."

"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."

"My suggestion to anyone thinking about this solution is to jump into it head-first!"

"Google Cloud SQL is easy to start with and allows me to scale as needed, which is advantageous from a developer perspective."

"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 product is scalable."

"The most valuable feature for us is the Postgres on Google Cloud SQL since it supports most of the features we need."

More Google Cloud SQL pros

"It has a flexible integration with our easy API."

"As a tester, it was easy to validate data, access data, make active run queries against it, and retrieve data from it."

"What I found most valuable in MongoDB Atlas is its Elasticsearch feature. It also has high availability, so it's stable."

"I find MongoDB Atlas highly scalable and easy to use, with very good support."

"It is a scalable solution because we use quite a lot of data, and it handles it well."

"MongoDB Atlas is a platform as a service and it has proven to be particularly valuable due to its self-managing nature. This has allowed us to minimize the amount of time and effort required to manage it, as it effectively manages itself. Additionally, it is a complete solution when looking at its features."

"The most valuable feature is the schemaless architecture."

"The most valuable feature of MongoDB Atlas is it's seamless when working with a lot of different systems. Additionally, it is able to adjust the data based on the data being received."

More MongoDB Atlas pros

Cons

"Google Cloud SQL still needs better connectivity to outside, existing data sources."

"Google Cloud SQL needs to improve its support for high-end I/O operations."

"The product's user interface could be more user-friendly to improve the overall user experience."

"The monitoring part could be better."

"It is hard to do logging with the solution."

"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."

"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."

More Google Cloud SQL cons

"Customer support needs improvement knowledge-wise."

"I would like the solution to offer more integration capabilities since it is an area where the solution lacks."

"The product's file storage documentation needs improvement."

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

"One improvement that I would like to see is a feature to export changes made in the environment, such as creating a new user."

"The web console isn't very intuitive, especially for large data."

"It would be great if it were easier to integrate MongoDB Atlas with AWS services. Technical support for MongoDB Atlas could be better."

"Querying a dataset is not very intuitive, so I think that it can be improved."

More MongoDB Atlas cons

Pricing and Cost Advice

"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."

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

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

"The solution is affordable."

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

"The price of MongoDB Atlas is highly affordable."

"I am using the free version of the solution."

"The purchasing process through the AWS Marketplace was very good."

"For our service, it was around 300 to 600 euros per month, which was acceptable for our customers."

"The pricing is acceptable for enterprise tier."

"The pricing and licensing is great."

"For me, MongoDB is expensive, but I think it is not so expensive for customers."

"We pay for a license."

More MongoDB Atlas pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Computer Software Company

12%

University

Retailer

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 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...

See all answers

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.

See all answers

Comparisons

Microsoft Azure SQL Database vs Google Cloud SQL

Compared 42% of the time

Amazon RDS vs Google Cloud SQL

Compared 35% of the time

Oracle Database as a Service vs Google Cloud SQL

Compared 6% of the time

Google Cloud Spanner vs Google Cloud SQL

Compared 3% of the time

Oracle Exadata Cloud at Customer vs Google Cloud SQL

Compared 2% of the time

More Google Cloud SQL Competitors

Amazon RDS vs MongoDB Atlas

Compared 47% of the time

Microsoft Azure SQL Database vs MongoDB Atlas

Compared 15% of the time

MongoDB vs MongoDB Atlas

Compared 6% of the time

Upstash vs MongoDB Atlas

Compared 5% of the time

Google Cloud Spanner vs MongoDB Atlas

Compared 4% of the time

More MongoDB Atlas Competitors

Product Reports

Buyer's Guide

Google Cloud SQL

March 2025

Download Google Cloud SQL product report

Buyer's Guide

MongoDB Atlas

March 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

March 2025

Free Report: Google Cloud SQL vs. MongoDB Atlas

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