Amazon Relational Database Service (RDS) offers sql server version compatibility for earlier versions, but azure provides only for the latest version. Amazon Relational Database Service (RDS) offers higher storage for each database instance. I think Amazon Relational Database …
Earlier we were using the Azure Ecosystem but we faced some issues in DevOps side so we decided to migrate towards some other reliable infra so we migrated all our engines, RDS and other services to Amazon Relational Database Service (RDS) and from that time we are using this. …
Amazon Relational Database Service (RDS) is an excellent option for those using AWS already, and provides a scalable, performant, database engine. Unlike Azure SQL Server it has a limit on the number of databases you can hold. However, if you're already in the AWS ecosystem it …
Amazon RDS is more resilient and accepted industry wide when compared to its peers. Also, as we have other services on AWS so it would be easier to integrate with other services like ECS if we go with Amazon RDS. Furthermore, it would be more cost effective if we go with Amazon …
We needed to use PostgreSQL due to it being the database engine that our application vendor uses. Once we were constrained on the database engine choice then Microsoft products (eg. SQL Server), whether on premise or in the cloud, were not appropriate. Therefore the only …
we could use Azure SQL for our project but as our other parts of the solutions existed on AWS, it was a better choice to have AWS RDS or else traffic exiting AWS would have taken a lot of cloud changes. Microsoft SQL Server requires license, either core-based or full license …
In my opinion, Amazon Relational Database Service (RDS) has provided better services in terms of Scalability and data Security as compared to its competitor. It helped us to manage our data using RDS server more efficiently and effectively. The high Availability helped us to …
Cloud Engineer - IT Emerging Talent Rotational Program
Chose Amazon Relational Database Service (RDS)
Whether using AWS, GCP, or Azure, you get the most value out of using applications from the same suite. Since my organization is AWS first, I am using RDS because it provides the most value for us using it with the other AWS offerings
We try to use Azure Databases, but we encountered issues of combining services between AWS and Azure, so this is the main reason we decided to move with Amazon RDS. I can say that between services they're quite alike but it all depends what cloud provider you use for the other …
As a POC, we had worked with Azure and GCP's databases as well. One problem with Azure is that it seems slow in supporting new versions of MySQL. With GCP Cloud SQL, the security configuration for the database was not as intuitive as in AWS. The UI in both Azure and GCP was …
I selected AWS RDS over Azure because of the [number] of products AWS has that work together. The cost for RDS was cheaper than Azure's SQL also. I use Azure for MSSQL workloads and AWS for MySQL workloads. Probably the main reason was we wanted to use S3 and Azure doesn't have …
Amazon Relational Database Service (RDS) is very well integrated with AWS services like CloudWatch, Lambda, IAM, Secrets Manager, S3, etc. It is AWS managed database service. It provides a serverless version using Aurora with auto-scaling features. Its features like …
We mainly used RDS because our infrastructure was already up and running on AWS so the networking between the systems was quite easy to set up and manage. For our Azure infrastructure, we used their SQL database option instead for the same reasons. If AWS made it easier to use …
Our other application components are all hosted within Amazon's systems already, and the tight coupling of RDS with the security groups and virtual private cloud offerings made locking down privacy and security much easier than integrating with an outside provider. The deeper …
There really isn't a comparable service. Azure was surprisingly complicated to set up and crashed at odd points during a POC without much help. We looked at Rackspace to check it out, but as most of our infrastructure is in AWS, any benefit to Rackspace's offerings were …
Azure and AWS RDS are very similar, both have similar capabilities and functions. When you need it, the aspect of only being charged for a running instance is very nice.
Amazon Relational Database Service is the other obvious competitor. We were already in Azure, so it's not a serious contender for our business due to that bias already, but I do personally find the marketing and documentation of RDS more intimidating to sort through.
Amazon's RDS offering is actually very good and is used in other parts of the company, we just have a lot of Azure experience so wanted to leverage that.
The simplicity and great features and good support of Microsoft as well as the more reasonable flexible price than other competitors is one of the important reasons for choosing it.
It is very easy to setup SQL database on Azure. one can always refer to their documentation for best practices. It is highly available and scalable. It is cheaper than its alternatives and provide better performance than others. As we are using many other services of Azure for …
As we were early adopters with Azure and landed on the Azure PaaS (Platform as a Service), it made sense to use databases that were on the same platform as the application to save on costs. Also, we were impressed with the simplicity of Azure SQL. From a management perspective …