Likelihood to Recommend Although Google Cloud SQL has room for improvement by addressing a minor lack of features, its features and services keep it high among other SQL database products. It is very fast compared to others. Since it is cloud-based, maintenance is also easier. Integration capabilities are also more than expected.
Read full review I would recommend
MongoDB Atlas to every company who have a significant need in the NoSQL database and do not want to manage their infrastructure. Using
MongoDB Atlas can significantly reduce your management time and cost, which saves valuable resources for other tasks. It also suits a smaller company as
MongoDB Atlas scales up and down very quickly.
Read full review Pros Highly scalable without worrying about sudden transaction explosion during peak hours. Highly available with multiple geographical locations and regions for nearly 0 downtime to the users. Extremely reliable and responsive for high latency applications due to superb networking at the core. Read full review DB Provisioning. DB Management. Gene Baker Vice President, Chief Architect, Development Manager and Software Engineer
Read full review Cons Increasing support for more database engines may enable a wider range of application needs to be met. Implementing and updating cutting-edge security features on a constant basis. Streamlining and enhancing the tools for transferring data to Google Cloud SQL from on-premises databases or other cloud providers. Read full review As an independent entity, MongoDB Atlas is not included in existing subscriptions from AWS or Azure, requiring an additional support plan and reliance on a third party. Read full review Usability Google Cloud SQL is similar to the long existing conventional DBs like Oracle RDBMS, MS SQL Server in terms of usability and much more robust and easy to manage than them. Most of the commands are almost identical to these DB platforms and thus, easy to learn, understand and start using. Also, being highly available, it brings a sense of reliability with Google Cloud SQL.
Read full review Support Rating GCP support in general requires a support agreement. For small organizations like us, this is not affordable or reasonable. It would help if Google had a support mechanism for smaller organizations. It was a steep learning curve for us because this was our first entry into the cloud database world. Better documentation also would have helped.
Read full review We love
MongoDB support and have great relationship with them. When we decided to go with
MongoDB Atlas, they sent a team of 5 to our company to discuss the process of setting up a Mongo cluster and walked us through. when we have questions, we create a ticket and they will respond very quickly
Read full review Alternatives Considered Google SQL was great as a first SQL provision. It quickly enabled the apps to be built and scaled as needed for a while. It was robust and adaptable as needed and easy to export as needed when ready, depending on growth. Cost-wise, it's a good choice and requires little investment to get going.
Read full review MongoDB Atlas has been in the market for very long time and there are bunch of documentation, training and support for it. It also is specifically designed for the use case similar to our project and big companies in the market uses them for very high load which made us confident about our choice.
Read full review Return on Investment With managed database system, it has given us near 100% data availability It has also improved web layer experience with faster processing and authentication using database fields Google Cloud SQL also gels up well with Google Analytics and other analytics systems for us to join up different data points and process them for deeper dives and analysis Read full review Improved our maintainability Reduced daily work compared to self-hosted solutions Reasonable pricing compared to value Read full review ScreenShots