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Compare Google Cloud SQL vs. MongoDB Atlas

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Google Cloud SQL Logo
4,143 views|3,352 comparisons
MongoDB Atlas Logo
1,828 views|927 comparisons
Featured Review
Find out what your peers are saying about Google Cloud SQL vs. MongoDB Atlas and other solutions. Updated: November 2021.
552,305 professionals have used our research since 2012.
Quotes From Members

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

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

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"The most valuable feature is the schemaless architecture.""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.""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.""The product is user-friendly.""The cloud-based nature of this solution makes it flexible and scalable."

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

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"Querying a dataset is not very intuitive, so I think that it can be improved.""The installation was straightforward except for the network hardware because it was a little complicated to make the connection with our VPC on AWS.""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 replica side, like the venue, can be improved."

More MongoDB Atlas Cons »

Pricing and Cost Advice
Information Not Available
"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'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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Questions from the Community
Top Answer: 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.
Top Answer: 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… more »
Top Answer: I am using it for database purposes. I am learning it to prepare for my certification. I have done a few big uploads, which I have removed later on.
Top Answer: The cloud-based nature of this solution makes it flexible and scalable.
Top Answer: We pay for licensing on a monthly basis and we are fine with the cost.
Top Answer: Querying a dataset is not very intuitive, so I think that it can be improved.
Ranking
3rd
Views
4,143
Comparisons
3,352
Reviews
3
Average Words per Review
507
Rating
9.3
5th
Views
1,828
Comparisons
927
Reviews
4
Average Words per Review
515
Rating
8.3
Comparisons
Also Known As
Atlas
Learn More
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 delivers the world’s leading database for modern applications as a fully automated cloud service engineered and run by the same team that builds the database. Proven operational and security practices are built in, automating time-consuming administration tasks such as infrastructure provisioning, database setup, ensuring availability, global distribution, backups, and more. The easy-to-use UI and API let you spend more time building your applications and less time managing your database.

Offer
Learn more about Google Cloud SQL
Learn more about MongoDB Atlas
Sample Customers
BeDataDriven, CodeFutures, Daffodil, GenieConnect, KiSSFLOW, LiveHive, SulAm_rica, Zync
eHarmony, Sega, KPMG, Telefonica, Checkr, 7-Eleven
Top Industries
VISITORS READING REVIEWS
Computer Software Company27%
Comms Service Provider24%
Financial Services Firm8%
Media Company6%
REVIEWERS
Financial Services Firm22%
Computer Software Company22%
Healthcare Company11%
Energy/Utilities Company11%
VISITORS READING REVIEWS
Comms Service Provider26%
Computer Software Company19%
Financial Services Firm7%
Energy/Utilities Company6%
Company Size
No Data Available
REVIEWERS
Small Business19%
Midsize Enterprise25%
Large Enterprise56%
Find out what your peers are saying about Google Cloud SQL vs. MongoDB Atlas and other solutions. Updated: November 2021.
552,305 professionals have used our research since 2012.

Google Cloud SQL is ranked 3rd in Database as a Service with 3 reviews while MongoDB Atlas is ranked 5th in Database as a Service with 5 reviews. Google Cloud SQL is rated 9.4, while MongoDB Atlas is rated 8.4. The top reviewer of Google Cloud SQL writes "Scalable and cost effective solution for data analysis". On the other hand, the top reviewer of MongoDB Atlas writes "Fantastic integrations, with multiple support levels". Google Cloud SQL is most compared with SQL Azure, Amazon RDS, Google Cloud Spanner and Oracle Database as a Service, whereas MongoDB Atlas is most compared with Amazon RDS, SQL Azure, Oracle Database as a Service, IBM Cloudant and Oracle Exadata Cloud at Customer. See our Google Cloud SQL vs. MongoDB Atlas report.

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