We performed a comparison between Amazon RDS and Google Cloud Spanner 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 solution has unique features like backup and recovery, and snapshots. It upgrades automatically. The solution offers easy analytics concerning performance metrics. Its reliability and scalability are very good. The tool's most valuable features are disaster recovery, high availability and scalability."
"The provisioning is much faster. You don't have to prepare hardware or install software. You just need to create an instance and you have a database."
"Amazon RDS is easy to manage, and it has customizable performance, high availability, and duality."
"It is stable, scalable, and easy to deploy."
"The solution is good for on-premise deployments."
"Amazon RDS is easy to maintain and easy to deploy."
"Encryption is the most valuable feature."
"The product is very, very easy to use."
"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 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."
"They should add a feature for manual SQL patching in RDS."
"One notable improvement that could enhance the database management experience, particularly during migration scenarios, is the accessibility of the root user."
"It would be better if it integrated seamlessly with Microsoft products. Our clients use the Microsoft Tally application server. We already tried to create a reputation from, for example, an on-premises environment from our client to Amazon RDS using Microsoft Tally server, and we couldn't do that because we didn't have a strong user in RDS. We couldn't create a reputation from an on-premises environment from the Microsoft Tally server to RDS. I think that it would be a good implementation, and it would help us with this case."
"One of the challenges of AWS RDS is that it doesn't support performance insight. So we need to write our own script or use third-party tools."
"The solution is a bit expensive."
"The Performance Monitor they have is a little clanky, at least in regards to the UI."
"Amazon RDS should have a more user-friendly graphical user interface and include better database management options."
"The product must add more older versions of the database engines."
"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 tool needs to improve horizontal scaling."
"The cost can be a bit high."
Amazon RDS is ranked 1st in Database as a Service with 45 reviews while Google Cloud Spanner is ranked 8th in Database as a Service with 4 reviews. Amazon RDS is rated 8.4, while Google Cloud Spanner is rated 9.0. The top reviewer of Amazon RDS writes "Provides excellent authentication, authorization, integration, data protection, and autoscaling features". On the other hand, the top reviewer of Google Cloud Spanner writes "A stable and scalable relational database that ensures a return on investment for its users". Amazon RDS is most compared with Google Cloud SQL, MongoDB Atlas, SQL Azure, Oracle Database as a Service and Oracle Exadata Cloud at Customer, whereas Google Cloud Spanner is most compared with Google Cloud SQL, Oracle Database as a Service, MongoDB Atlas, Oracle Exadata Cloud at Customer and SQL Azure. See our Amazon RDS vs. Google Cloud Spanner 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.
