Compare Google Cloud SQL vs. MongoDB Atlas

Google Cloud SQL is ranked 3rd in Database as a Service with 2 reviews while MongoDB Atlas is ranked 5th in Database as a Service with 8 reviews. Google Cloud SQL is rated 9.0, while MongoDB Atlas is rated 8.2. The top reviewer of Google Cloud SQL writes "Easy to use, efficient, simple, and user-friendly". On the other hand, the top reviewer of MongoDB Atlas writes "You can start quickly on projects which allow you to store many things". Google Cloud SQL is most compared with Google Cloud Spanner, SQL Azure and Amazon RDS, whereas MongoDB Atlas is most compared with Amazon RDS and IBM Cloudant. See our Google Cloud SQL vs. MongoDB Atlas report.
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Google Cloud SQL Logo
2,628 views|2,133 comparisons
MongoDB Atlas Logo
354 views|53 comparisons
Most Helpful Review
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Find out what your peers are saying about Google Cloud SQL vs. MongoDB Atlas and other solutions. Updated: November 2019.
378,397 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
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.My suggestion to anyone thinking about this solution is to jump into it head-first!

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Scalability is its most valuable feature, as it is pretty simple.It has a flexible integration with our easy API.It is nice because our developers create tables whenever they need to sync data.Its most valuable features are high availability and zero maintenance.You can start quickly on projects which allow you to store many things.It enables us to get work done quickly and get to our data.As a tester, it was easy to validate data, access data, make active run queries against it, and retrieve data from it.Our databases used to be in-house. Now, they are in the cloud with MongoDB and everything is much easier.

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Cons
I would like to see better integration with all the different tools on the platform.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.

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The cost needs improvement.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.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.The cost needs improvement. The product is good, but the cost that we paid for it is expensive, so it wasn't that valuable.I would like a more comprehensive dashboard.Going forward, we would like to have pure AWS Cloud (native) storage instead regular storage on the AWS integration side.The import and export process needs improvement, i.e., getting in and out. Moving data from other databases into MongoDB, along with indexing, was challenging.The UI application for MongoDB crashes a lot, so we would have to use a third-party plugin to make it work.

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Pricing and Cost Advice
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 very much an important factor as to why we use this solution.

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Pricing could always be better.The pricing is good. We originally chose it over DynamoDB because of the pricing.It is too expensive. They need to work on this.In my previous company, the product allowed use to build a database in a highly regulated environment with the ability to get distributed storage. We used MongoDB as a distributed storage to set up this environment for a critical business application with millions of dollars.The purchasing process through the AWS Marketplace was very good.The pricing and licensing is great.

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report
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Ranking
3rd
Views
2,628
Comparisons
2,133
Reviews
2
Average Words per Review
576
Avg. Rating
9.0
5th
Views
354
Comparisons
53
Reviews
8
Average Words per Review
329
Avg. Rating
8.1
Top Comparisons
Compared 26% of the time.
Compared 23% of the time.
Compared 53% of the time.
Compared 47% of the time.
Also Known As
Atlas
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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 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, ZynceHarmony, Sega, KPMG, Telefonica, Checkr, 7-Eleven
Find out what your peers are saying about Google Cloud SQL vs. MongoDB Atlas and other solutions. Updated: November 2019.
378,397 professionals have used our research since 2012.
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.
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