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."Google Cloud Spanner is stable."
"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."
"We can scale the solution if we need to."
"The application deployment in the cloud is the best feature of the infrastructure."
"Being schemaless is what I like best about MongoDB Atlas."
"The key feature of MongoDB Atlas that has been helpful for us is the ease of deploying new databases."
"It's a good solution for NoSQL databases."
"Scalability is its most valuable feature, as it is pretty simple."
"It enables us to get work done quickly and get to our data."
"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."
"It's flexible. We don't need to have a solid upstream availability failover, and everything is seamless in Atlas."
"This solution is very helpful due to its ease of use."
"The tool needs to improve horizontal scaling."
"The cost can be a bit high."
"I want to improve the deployment of cameras and surveillance infrastructure."
"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 UI application for MongoDB crashes a lot, so we would have to use a third-party plugin to make it work."
"Going forward, we would like to have pure AWS Cloud (native) storage instead regular storage on the AWS integration side."
"I would like to have better performance for user experience with the solution."
"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."
"It would be great if it were easier to integrate MongoDB Atlas with AWS services. Technical support for MongoDB Atlas could be better."
"During the configuration, we did some migrations where we had to reindex about 70,000 indexes, which took around an hour. They should improve this and optimize the indexing."
"The cost needs improvement."
"We had some bad trainers when we first came onboard and would rate them fairly low. They did not seem staffed properly to fulfill the training services that they offered."
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 43 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, Oracle Exadata Cloud at Customer, Oracle Database as a Service, Google Cloud SQL and Redis, 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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