Compare Google Cloud SQL vs. MongoDB Atlas

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1,043 views|308 comparisons
Most Helpful Review
Find out what your peers are saying about Google Cloud SQL vs. MongoDB Atlas and other solutions. Updated: September 2020.
442,194 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:

"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!""The most valuable features are that it's easy to use, simple, and user-friendly.""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."

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

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

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"I would like a better dashboard. It could be made a bit more user friendly.""The UI application for MongoDB crashes a lot, so we would have to use a third-party plugin to make it work.""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.""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 cost needs improvement. The product is good, but the cost that we paid for it is expensive, so it wasn't that valuable.""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."

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Pricing and Cost Advice
"The pricing is very much an important factor as to why we use this solution.""It's really cheap. It wouldn't be more than, I believe it's around 50 euro per month for running a cloud SQL."

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"The pricing and licensing is great.""The purchasing process through the AWS Marketplace was very good.""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.""It is too expensive. They need to work on this.""The pricing is good. We originally chose it over DynamoDB because of the pricing.""Pricing could always be better."

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Questions from the Community
Top Answer: Ease of management and the ability to oversee the statistics of your SQL.
Top Answer: The advice I would give before starting up is to have a small interactive introductory session with some domain experts because even though it looks quite similar to MySQL and all the other SQL… more »
Top Answer: In my humble opinion, nothing can be improved. It's a good solution as it is. What could be refined however is the ability to have more than just one secondary/replication site. At the moment you can… more »
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Also Known As
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.

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Sample Customers
BeDataDriven, CodeFutures, Daffodil, GenieConnect, KiSSFLOW, LiveHive, SulAm_rica, ZynceHarmony, Sega, KPMG, Telefonica, Checkr, 7-Eleven
Top Industries
Computer Software Company36%
Comms Service Provider15%
Media Company9%
Financial Services Firm6%
Computer Software Company27%
Comms Service Provider13%
Media Company13%
Manufacturing Company11%
Company Size
No Data Available
Small Business9%
Midsize Enterprise27%
Large Enterprise64%
Find out what your peers are saying about Google Cloud SQL vs. MongoDB Atlas and other solutions. Updated: September 2020.
442,194 professionals have used our research since 2012.
Google Cloud SQL is ranked 2nd in Database as a Service with 4 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 "Scalable and cost effective solution for data analysis". 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 SQL Azure, Google Cloud Spanner, Amazon RDS and Oracle Database as a Service, whereas MongoDB Atlas is most compared with Amazon RDS, SQL Azure, IBM Cloudant and Oracle Database as a Service. See our Google Cloud SQL vs. MongoDB Atlas report.

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