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 16.6% 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

3,636 Views
3,324 Comparison Views

100% willing to recommend

MongoDB Atlas

Read 47 MongoDB Atlas reviews

4,368 Views
2,606 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 February 2025, in the Database as a Service (DBaaS) category, the mindshare of Google Cloud SQL is 16.6%, down from 18.9% compared to the previous year. The mindshare of MongoDB Atlas is 15.0%, up from 14.0% 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.

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

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

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

"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 implementation part of the product was easy."

"The setup was straightforward. Just a couple of clicks, and we were done."

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

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

More Google Cloud SQL pros

"The most valuable feature is that it's all web-based. So one can browse collections just from the web. MongoDB Atlas is very accessible, quick to understand, and quick to learn. People who have never used CLI can hop into the web interface and browse the database."

"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."

"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."

"MongoDB is a NoSQL tool."

"Its most valuable features are high availability and zero maintenance."

"The stability and performance are great. The high availability feature is great. Moreover, I am happy with the automated backup and restore functionality."

"You can start quickly on projects which allow you to store many things."

"Our databases used to be in-house. Now, they are in the cloud with MongoDB and everything is much easier."

More MongoDB Atlas pros

Cons

"The overall documentation and the connectors need improvement."

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

"The most challenging part is dealing with legacy data from your old systems and migrating it into the new setup, but once you've completed the data migration, it becomes quite convenient to use."

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

"The purging of the data 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 appreciate more flexibility with specific extensions applicable to engines like PostgreSQL."

"When discussing media files, such as images and audio files, stored in Google Cloud, concerns about handling large amounts of data arise."

More Google Cloud SQL cons

"We had some bad trainers when we first came onboard and would rate them fairly low. They did not seem staffed properly to fulfill the training services that they offered."

"During the configuration, we did some migrations where we had to reindex about 70,000 indexes, which took around an hour. They should improve this and optimize the indexing."

"The biggest challenge we all have is an application layer level. One node is sitting in the APAC region, another node is sitting in the US and UK region. The seamless replication has to be lightning fast, but we haven't tested the scalability yet."

"I would like a better dashboard. It could be made a bit more user friendly."

"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."

"If it could be cheaper, that would make us happy."

"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."

"The initial configuration fine-tuning for performance can be time-consuming."

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."

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

"The solution is affordable."

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

"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 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."

"We pay for a license."

"Comparing the price between the MongoDB and Microsoft SQL Server, we are using the enterprise edition of Microsoft SQL Server, which is more expensive than MongoDB."

"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."

"It is too expensive. They need to work on this."

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

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%

Retailer

University

Computer Software Company

18%

Financial Services Firm

15%

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 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 50% of the time

Microsoft Azure SQL Database vs MongoDB Atlas

Compared 15% of the time

MongoDB vs MongoDB Atlas

Compared 5% of the time

Upstash vs MongoDB Atlas

Compared 4% 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

February 2025

Download Google Cloud SQL product report

Buyer's Guide

MongoDB Atlas

February 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

January 2025

Free Report: Google Cloud SQL vs. MongoDB Atlas

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