We performed a comparison between Google Cloud Spanner 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 most valuable feature of the solution is its scalability. Scalability comes with two options, among which Google Cloud Spanner can scale horizontally, compared to other relational databases that scale vertically."
"Google Cloud Spanner is stable."
"The application deployment in the cloud is the best feature of the infrastructure."
"We can scale the solution if we need to."
"The dynamic structures are the most valuable."
"Our databases used to be in-house. Now, they are in the cloud with MongoDB and everything is much easier."
"The auto-scaling feature is the most valuable aspect."
"The most valuable feature of MongoDB Atlas is it's seamless when working with a lot of different systems. Additionally, it is able to adjust the data based on the data being received."
"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 key feature of MongoDB Atlas that has been helpful for us is the ease of deploying new databases."
"The solution has a very intuitive user interface."
"The product is user-friendly."
"The cost can be a bit high."
"I want to improve the deployment of cameras and surveillance infrastructure."
"The tool needs to improve horizontal scaling."
"Google came up with something called Cloud Spanner Emulator, which fails to work like the real product if I want to develop some code and run a database locally on my machine."
"The product does not have ORM."
"There are some features that could be useful for the customers I work with, which are related to migration from on-prem to the cloud."
"The UI application for MongoDB crashes a lot, so we would have to use a third-party plugin to make it work."
"MongoDB Atlas should add more APIs in their Terraform module because sometimes I find it difficult to find the resources in their Terraform model."
"It would be great if it were easier to integrate MongoDB Atlas with AWS services. Technical support for MongoDB Atlas could be better."
"A few areas that we have noticed as being problematic with the MongoDB Atlas include user access to the platform. Currently, it is difficult to restrict and control what actions a user can perform within the solution, which poses a challenge from an internal auditing perspective."
"If it could be cheaper, that would make us happy."
"The import and export process needs improvement, i.e., getting in and out. Moving data from other databases into MongoDB, along with indexing, was challenging."
Google Cloud Spanner is ranked 8th in Database as a Service with 4 reviews while MongoDB Atlas is ranked 3rd in Database as a Service with 42 reviews. Google Cloud Spanner is rated 9.0, while MongoDB Atlas is rated 8.4. The top reviewer of Google Cloud Spanner writes "A stable and scalable relational database that ensures a return on investment for its users". 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 Spanner is most compared with Amazon RDS, Google Cloud SQL, Oracle Database as a Service, Oracle Exadata Cloud at Customer and SQL Azure, whereas MongoDB Atlas is most compared with Amazon RDS, SQL Azure, Google Cloud SQL, Oracle Database as a Service and Oracle Exadata Cloud at Customer. See our Google Cloud Spanner vs. MongoDB Atlas report.
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