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 8.3. Google holds a 16.2% mindshare in DS, compared to MongoDB’s 14.2% 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

2,949 Views
2,698 Comparison Views

100% willing to recommend

MongoDB Atlas

Read 48 MongoDB Atlas reviews

3,759 Views
2,307 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: April 2025).

Buyer's Guide

Google Cloud SQL vs. MongoDB Atlas

April 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 May 2025, in the Database as a Service (DBaaS) category, the mindshare of Google Cloud SQL is 16.2%, down from 18.3% compared to the previous year. The mindshare of MongoDB Atlas is 14.2%, down from 15.1% 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 most valuable features are that it's easy to use, simple, and user-friendly."

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

"It is not the cool features that I find valuable, it is the stability of Google Cloud Platform."

"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."

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

"What I like the most about Google Cloud SQL is that it handles the management, which allows us to concentrate on our applications."

"The product is scalable."

More Google Cloud SQL pros

"The product provides quick transaction service, high availability, and efficient scalability features."

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

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

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

"The features that I have found most valuable include the very easy integrations. The integrations are fantastic. I have not faced any challenges from the integration standpoint."

"Scalability is its most valuable feature, as it is pretty simple."

"MongoDB is a NoSQL tool."

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

More MongoDB Atlas pros

Cons

"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."

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

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

"The customer support should be improved."

"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."

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

"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."

More Google Cloud SQL cons

"Customer support needs improvement knowledge-wise."

"We had some edge cases where scalability was an issue where a node went offline, and we had to deal with that."

"The replica side, like the venue, can be improved."

"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."

"I would like a more comprehensive dashboard."

"The price of the solution should be reduced."

"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."

"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."

More MongoDB Atlas cons

Pricing and Cost Advice

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

"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 affordable."

"While the platform’s pricing may be higher, it aligns with industry standards, considering the quality of service and features provided."

"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."

"I have seen the cost, and it was pretty cheap."

"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."

"MongoDB Atlas is not expensive, and since it's a cloud-based solution, you pay by usage."

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

"The pricing is acceptable for enterprise tier."

"It is an open-source platform."

"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."

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

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 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?

See all answers

Comparisons

Microsoft Azure SQL Database vs Google Cloud SQL

Compared 40% of the time

Amazon RDS vs Google Cloud SQL

Compared 35% of the time

Oracle Database as a Service vs Google Cloud SQL

Compared 7% 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 2% of the time

More Google Cloud SQL Competitors

Amazon RDS vs MongoDB Atlas

Compared 43% of the time

Microsoft Azure SQL Database vs MongoDB Atlas

Compared 16% of the time

MongoDB vs MongoDB Atlas

Compared 7% of the time

Upstash vs MongoDB Atlas

Compared 5% of the time

Amazon DocumentDB vs MongoDB Atlas

Compared 5% of the time

More MongoDB Atlas Competitors

Product Reports

Buyer's Guide

Google Cloud SQL

April 2025

Download Google Cloud SQL product report

Buyer's Guide

MongoDB Atlas

April 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

April 2025

Free Report: Google Cloud SQL vs. MongoDB Atlas

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