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.
"The setup was straightforward. Just a couple of clicks, and we were done."
"The initial setup is straightforward."
"It is not the cool features that I find valuable, it is the stability of Google Cloud Platform."
"The most valuable features are that it's easy to use, simple, and user-friendly."
"The implementation part of the product was easy."
"My suggestion to anyone thinking about this solution is to jump into it head-first!"
"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 most beneficial MongoDB features for our workload are the ability to scale up and down using automatic sharding and clustering."
"The most valuable feature is that it's all web-based. So one can browse collections just from the web. MongoDB Atlas is very accessible, quick to understand, and quick to learn. People who have never used CLI can hop into the web interface and browse the database."
"The product is user-friendly."
"This solution is very helpful due to its ease of use."
"The product provides quick transaction service, high availability, and efficient scalability features."
"MongoDB Atlas is a platform as a service and it has proven to be particularly valuable due to its self-managing nature. This has allowed us to minimize the amount of time and effort required to manage it, as it effectively manages itself. Additionally, it is a complete solution when looking at its features."
"The cloud-based nature of this solution makes it flexible and scalable."
"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."
"It is hard to do logging with the solution."
"The customer support should be improved."
"The purging of the data could be better."
"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."
"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."
"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."
"The only thing that could be better is the pricing."
"The cost needs improvement. The product is good, but the cost that we paid for it is expensive, so it wasn't that valuable."
"The product does not have ORM."
"The tool's implementation should be made easier."
"It would be great if it were easier to integrate MongoDB Atlas with AWS services. Technical support for MongoDB Atlas could be better."
"The UI application for MongoDB crashes a lot, so we would have to use a third-party plugin to make it work."
"When I edit a document from a document, a lot of clicking is involved, like changing data type manually from a drop-down. It would be super nice if I could just edit the document in a JSON format. The JSON-based document editor should have a multi-language feature. Also, it would be great if there was a connect option from Google Looker Studio."
"Going forward, we would like to have pure AWS Cloud (native) storage instead regular storage on the AWS integration side."
"It would be better if there were more integration capabilities with other products."
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.
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.
