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."It is very easy to set up initially."
"Relational databases excel in extensive normalization, eliminating data redundancy and efficiently structuring tables which leads to a clear and efficient relationship between tables using primary keys."
"Amazon RDS is a scalable solution."
"The most valuable features of the solution stem from the fact that it requires an easy setup phase, and it is also easy to use while not being too heavy on its users."
"The initial setup is straightforward, and technical support is good."
"I found it to be a stable solution."
"Amazon RDS is good for backups, auto-scanning, and disaster recovery. It's also appropriate for the office server."
"Encryption is the most valuable feature."
"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."
"Google Cloud Spanner is stable."
"Currently, speaking of Microsoft SQL on RDS, you don't have a full option to be able to use it directly on RDS. So, it needs improvement."
"I feel Amazon RDS should have a lot of functionalities to make monitoring within the database easier."
"I also don't think it's very scalable."
"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."
"Currently, we are using Fargate. Instead of that, we are planning to use EC2 instances, but we are facing some problems, and we are unable to enable NAT gateway for Elastic Load Balancer. When we enable auto-scaling, the instance count increases, and we get IP addresses dynamically. We need to whitelist the IPs of these instances, but there is no option to whitelist those IPs in Amazon RDS. We need one static IP that we can assign to ELB so that we can whitelist this IP."
"I would like to see improvements in the tool's automatic restart."
"They should add a feature for manual SQL patching in RDS."
"Amazon RDS could improve by having more sophisticated. I use other solutions that have better technology for more difficult tasks."
"I want to improve the deployment of cameras and surveillance infrastructure."
"The cost can be a bit high."
"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."
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 MongoDB Atlas, Google Cloud SQL, SQL Azure, Oracle Database as a Service and Oracle Exadata Cloud at Customer, whereas Google Cloud Spanner is most compared with MongoDB Atlas, Google Cloud SQL, Oracle Database as a Service, Oracle Exadata Cloud at Customer and Redis. See our Amazon RDS vs. Google Cloud Spanner report.
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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.
