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."
"The setup was straightforward. Just a couple of clicks, and we were done."
"Ease of management and the ability to oversee the statistics of your SQL."
"The implementation part of the product was easy."
"This is a stable solution and offers good performance."
"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."
"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."
"It's SQL. SQL is so easy if you know something about databases. It's easy to learn."
"The initial setup of MongoDB Atlas is straightforward...It is a scalable solution."
"The solution is easily scalable and manageable. Tools can be easily added to the solution."
"The solution has a very intuitive user interface."
"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."
"Object-based data storing capability and managing non-structured data capability are the most valuable features of MongoDB Atlas."
"It is nice because our developers create tables whenever they need to sync data."
"The most useful feature is the management of the backup."
"The most beneficial MongoDB features for our workload are the ability to scale up and down using automatic sharding and clustering."
"In the case of Google, they need to work on a more easy interface for users."
"The only thing that could be better is the pricing."
"The purging of the data could be better."
"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."
"The monitoring part could be better."
"To create a seamless data integration, the title integration of these databases with the data integration platforms is essential. This is what we would like to have in a future release."
"I would like to see better availability of the product in different regions. It should also improve the security with encryption."
"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 cost needs improvement."
"The installation was straightforward except for the network hardware because it was a little complicated to make the connection with our VPC on AWS."
"The product does not have ORM."
"Customer support needs improvement knowledge-wise."
"The web console isn't very intuitive, especially for large data."
"It would be great if it were easier to integrate MongoDB Atlas with AWS services. Technical support for MongoDB Atlas could be better."
"Going forward, we would like to have pure AWS Cloud (native) storage instead regular storage on the AWS integration side."
"The biggest challenge we all have is an application layer level. One node is sitting in the APAC region, another node is sitting in the US and UK region. The seamless replication has to be lightning fast, but we haven't tested the scalability yet."
Google Cloud SQL is ranked 5th in Database as a Service with 16 reviews while MongoDB Atlas is ranked 3rd in Database as a Service with 43 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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