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."It supports different databases, like Postgres and MySQL."
"The valuable feature of Google Cloud SQL is its high availability option. The product is stable."
"The initial setup is straightforward."
"The most valuable features are that it's easy to use, simple, and user-friendly."
"The solution is easy to use. I am impressed with the tool's features and functionality."
"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."
"This is a stable solution and offers good performance."
"It is nice because our developers create tables whenever they need to sync data."
"It's a good solution for NoSQL databases."
"You can start quickly on projects which allow you to store many things."
"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 is easy to use, the console is user-friendly, and overall a well-designed solution. It takes a complex system and makes it easy to understand. Additionally, the solution is always advancing and they provide a roadmap into what is coming in the future."
"The product allows us to easily set up and store large amounts of unstructured data."
"It has a flexible integration with our easy API."
"For data analysis, the AI area of the product has certain shortcomings where improvements are required."
"The monitoring part could be better."
"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 only thing that could be better is the pricing."
"The customer support should be improved."
"It is hard to do logging with the solution."
"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."
"Google Cloud SQL still needs better connectivity to outside, existing data sources."
"We need improved query performance."
"Customer support needs improvement knowledge-wise."
"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."
"One improvement that I would like to see is a feature to export changes made in the environment, such as creating a new user."
"The replica side, like the venue, can be improved."
"The UI is not currently designed in a manner to make it possible for a non-technical person or a layman to update the database easily."
"In the past, MongoDB offered more features for free, but now it's quite limited. The free version is limited, and you need to pay extra to fully utilize it. The pricing could be improved."
"If it could be cheaper, that would make us happy."
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 42 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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