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."
"The application deployment in the cloud is the best feature of the infrastructure."
"Google Cloud Spanner is stable."
"We can scale the solution if we need to."
"The most useful feature is the management of the backup."
"The solution is easily scalable and manageable. Tools can be easily added to the solution."
"MongoDB Atlas is a database that is quite fast, stable, and reliable."
"As a tester, it was easy to validate data, access data, make active run queries against it, and retrieve data from it."
"Being schemaless is what I like best about MongoDB Atlas."
"Administering the solution is easy."
"The key feature of MongoDB Atlas that has been helpful for us is the ease of deploying new databases."
"The most valuable feature is that it's all web-based. So one can browse collections just from the web. MongoDB Atlas is very accessible, quick to understand, and quick to learn. People who have never used CLI can hop into the web interface and browse the database."
"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."
"I want to improve the deployment of cameras and surveillance infrastructure."
"The tool needs to improve horizontal scaling."
"The cost can be a bit high."
"Based on its own habitat, it's not ACID compliant. If it had an ACID compliant option, it would be more useful for database administration."
"The initial configuration fine-tuning for performance can be time-consuming."
"MongoDB Atlas should improve its user experience by providing better explanations or a wizard for people working with its UI."
"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."
"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 had some edge cases where scalability was an issue where a node went offline, and we had to deal with that."
"Querying a dataset is not very intuitive, so I think that it can be improved."
"It would be better if there were more integration capabilities with other products."
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 41 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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