We just raised a $30M Series A: Read our story

Compare Google Cloud SQL vs. MongoDB Atlas

Cancel
You must select at least 2 products to compare!
Google Cloud SQL Logo
4,150 views|3,346 comparisons
MongoDB Atlas Logo
1,809 views|895 comparisons
Top Review
Find out what your peers are saying about Google Cloud SQL vs. MongoDB Atlas and other solutions. Updated: September 2021.
542,823 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."

More Google Cloud SQL Pros »

"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 most valuable feature is the schemaless architecture.""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."

More MongoDB Atlas Pros »

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

More Google Cloud SQL Cons »

"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.""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."

More MongoDB Atlas Cons »

Pricing and Cost Advice
Information Not Available
"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.""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."

More MongoDB Atlas Pricing and Cost Advice »

report
Use our free recommendation engine to learn which Database as a Service solutions are best for your needs.
542,823 professionals have used our research since 2012.
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
2nd
Views
4,150
Comparisons
3,346
Reviews
3
Average Words per Review
507
Rating
9.3
5th
Views
1,809
Comparisons
895
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 Provider23%
Financial Services Firm7%
Media Company6%
REVIEWERS
Computer Software Company25%
Healthcare Company13%
Energy/Utilities Company13%
Insurance Company13%
VISITORS READING REVIEWS
Comms Service Provider27%
Computer Software Company19%
Financial Services Firm7%
Energy/Utilities Company6%
Company Size
No Data Available
REVIEWERS
Small Business13%
Midsize Enterprise27%
Large Enterprise60%
Find out what your peers are saying about Google Cloud SQL vs. MongoDB Atlas and other solutions. Updated: September 2021.
542,823 professionals have used our research since 2012.

Google Cloud SQL is ranked 2nd in Database as a Service with 3 reviews while MongoDB Atlas is ranked 5th in Database as a Service with 4 reviews. Google Cloud SQL is rated 9.4, while MongoDB Atlas is rated 8.2. 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, IBM Cloudant, Oracle Database as a Service and Oracle Exadata Cloud at Customer. See our Google Cloud SQL vs. MongoDB Atlas report.

See our list of best Database as a Service vendors.

We monitor all Database as a Service reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.