We performed a comparison between Google Cloud SQL and MongoDB Atlas based on real PeerSpot user reviews.
Find out in this report how the two Database as a Service solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."What I like the most about Google Cloud SQL is that it handles the management, which allows us to concentrate on our applications."
"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."
"The valuable feature of Google Cloud SQL is its high availability option. The product is stable."
"The implementation part of the product was easy."
"The most valuable features are that it's easy to use, simple, and user-friendly."
"It is not the cool features that I find valuable, it is the stability of Google Cloud Platform."
"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 product allows us to easily set up and store large amounts of unstructured data."
"Administering the solution is easy."
"The most valuable feature of MongoDB Atlas is it's seamless when working with a lot of different systems. Additionally, it is able to adjust the data based on the data being received."
"The stability and performance are great. The high availability feature is great. Moreover, I am happy with the automated backup and restore functionality."
"Scalability is its most valuable feature, as it is pretty simple."
"The solution has a very intuitive user interface."
"The product is simple to use and enterprise-ready. It is also open-source."
"The auto-scaling feature is the most valuable aspect."
"I would like to see better availability of the product in different regions. It should also improve the security with encryption."
"The only thing that could be better is the pricing."
"The purging of the data could be better."
"The monitoring part could be better."
"The customer support should be improved."
"Google Cloud SQL still needs better connectivity to outside, existing data sources."
"In the case of Google, they need to work on a more easy interface for users."
"The most challenging part is dealing with legacy data from your old systems and migrating it into the new setup, but once you've completed the data migration, it becomes quite convenient to use."
"We need improved query performance."
"The price of the solution should be reduced."
"It would be better if there were more integration capabilities with other products."
"An area for improvement in MongoDB Atlas is that it does not support individual or personal database backup, though it supports cloud cluster backup."
"The product does not have ORM."
"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 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 cost needs improvement."
Google Cloud SQL is ranked 4th in Database as a Service with 16 reviews while MongoDB Atlas is ranked 3rd in Database as a Service with 41 reviews. Google Cloud SQL is rated 8.4, while MongoDB Atlas is rated 8.4. The top reviewer of Google Cloud SQL writes "An easy-to-use solution with good features and functionality ". On the other hand, the top reviewer of MongoDB Atlas writes "Allows our business to analyze social media data with machine learning and store the data in MongoDB". Google Cloud SQL is most compared with Amazon RDS, SQL Azure, Oracle Database as a Service, Google Cloud Spanner and Oracle Exadata Cloud at Customer, whereas MongoDB Atlas is most compared with Amazon RDS, SQL Azure, Oracle Database as a Service, Google Cloud Spanner and Oracle Exadata Cloud at Customer. See our Google Cloud SQL vs. MongoDB Atlas report.
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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.