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 8.0, while MongoDB is ranked #3 with an average rating of 8.4. Google holds a 17.3% mindshare in DS, compared to MongoDB’s 15.0% 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 21 Google Cloud SQL reviews

3,809 Views
3,489 Comparison Views

100% willing to recommend

MongoDB Atlas

Read 47 MongoDB Atlas reviews

4,552 Views
2,700 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: January 2025).

Buyer's Guide

Google Cloud SQL vs. MongoDB Atlas

January 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

8.4

Reviews Sentiment

6.9

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

7.5

Number of Reviews

Ranking in other categories

Managed NoSQL Databases (6th)

Mindshare comparison

As of January 2025, in the Database as a Service (DBaaS) category, the mindshare of Google Cloud SQL is 17.3%, down from 19.4% compared to the previous year. The mindshare of MongoDB Atlas is 15.0%, up from 13.7% 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

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

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

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

"From a database management perspective, it provides services without the need for me to worry about backups, scaling, or other operational issues."

"Ease of management and the ability to oversee the statistics of your SQL."

"Google Cloud SQL enhances our AI-driven projects by providing features like query optimization and scalability for efficiently processing large datasets."

"The most valuable features are that it's easy to use, simple, and user-friendly."

"The initial setup is straightforward."

More Google Cloud SQL pros

"The cloud-based nature of this solution makes it flexible and scalable."

"The solution is easy to use, the console is user-friendly, and overall a well-designed solution. It takes a complex system and makes it easy to understand. Additionally, the solution is always advancing and they provide a roadmap into what is coming in the future."

"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 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."

"The solution has a very intuitive user interface."

"For security reasons, I prefer MongoDB Atlas. It supports role-based access control, so you have an entity for each individual."

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

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

More MongoDB Atlas pros

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."

"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."

"The customer support should be improved."

"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."

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

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

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

"They could improve documentation and dashboard stability for efficient user experience and database management."

More Google Cloud SQL cons

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

"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."

"The tool's implementation should be made easier."

"The product does not have ORM."

"I would like a more comprehensive dashboard."

"The cost needs improvement."

"The cost needs improvement. The product is good, but the cost that we paid for it is expensive, so it wasn't that valuable."

More MongoDB Atlas cons

Pricing and Cost Advice

"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."

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

"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."

"The solution is fairly priced."

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

"We pay for the license on a monthly basis. It's not cheap or expensive. For smaller companies, it's definitely expensive."

"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."

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

"Pricing could always be better."

"The pricing is not that expensive, but it can be, especially when we have deployed it across multiple zones."

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

More MongoDB Atlas pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Computer Software Company

13%

Retailer

Educational Organization

Computer Software Company

18%

Financial Services Firm

16%

Healthcare Company

Comms Service Provider

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?

Google Cloud SQL is competitively priced compared to other services like RDS from Amazon.

See all answers

What needs improvement with Google Cloud SQL?

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

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 41% of the time

Amazon RDS vs Google Cloud SQL

Compared 34% of the time

Oracle Database as a Service vs Google Cloud SQL

Compared 5% of the time

Google Cloud Spanner vs Google Cloud SQL

Compared 2% of the time

IBM Db2 on Cloud vs Google Cloud SQL

Compared 2% of the time

More Google Cloud SQL Competitors

Amazon RDS vs MongoDB Atlas

Compared 52% of the time

Microsoft Azure SQL Database vs MongoDB Atlas

Compared 17% of the time

Google Cloud Spanner vs MongoDB Atlas

Compared 4% of the time

Upstash vs MongoDB Atlas

Compared 3% of the time

Amazon DocumentDB vs MongoDB Atlas

Compared 2% of the time

More MongoDB Atlas Competitors

Product Reports

Buyer's Guide

Google Cloud SQL

January 2025

Download Google Cloud SQL product report

Buyer's Guide

MongoDB Atlas

January 2025

Download MongoDB Atlas product report

Also Known As

No data available

Atlas

Learn More

Google

MongoDB

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.

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.

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

January 2025

Free Report: Google Cloud SQL vs. MongoDB Atlas

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