We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"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."
"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."
"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."
"The most valuable feature is the schemaless architecture."
"The cloud-based nature of this solution makes it flexible and scalable."
"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."
"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."
"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."
"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 replica side, like the venue, can be improved."
"Querying a dataset is not very intuitive, so I think that it can be improved."
"The installation was straightforward except for the network hardware because it was a little complicated to make the connection with our VPC on AWS."
"We're currently using the Atlas for the night and don't require a license. However, it can be a problem if you want to use their enterprise environment. Then you need to purchase the license."
"The solution is expensive overall. It does not require a license but if you want the support then you will need to purchase the license. They use a pay-as-you-go model and you are able to receive some discounts by making longer usage commitments."
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.
Google Cloud SQL is ranked 2nd in Database as a Service with 3 reviews while MongoDB Atlas is ranked 5th in Database as a Service with 4 reviews. Google Cloud SQL is rated 9.4, 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 "Fantastic integrations, with multiple support levels". Google Cloud SQL is most compared with SQL Azure, Amazon RDS, Google Cloud Spanner and Oracle Database as a Service, whereas MongoDB Atlas is most compared with Amazon RDS, SQL Azure, IBM Cloudant, Oracle Database as a Service 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.