Amazon RDS

As a Relational Database Service we have used AWS RDS because as a Banking and Fintech organisation we are dealing with millions of customer and as AWS provides this Managed service which is fully fledged with lots of feature like High Availability, Fault Tolerance, Security measures, In Depth Monitoring, Resilency, Query Suggestions and Very High Performance. Moreover this all set of features are available as one click solutions so we don't have a external headache to manage the Database we just have to focus on our Application.

We use RDS to manage all of our SQL databases for multiple billing and payment applications. This includes Aurora and PostgreSQL databases with millions of records and several terabytes of data. These databases are accessed in real time by web applications that handle the requests from thousands of users. RDS handles backups, security, and compliance by default.

We have Amazon Relational Database Service (RDS) and is used for application level data access for custom applications

RDS performs frequent backups of your database, and you may configure retention rules to control how long backups are kept. RDS makes it simple to extend our database instance vertically by switching instance types or horizontally by adding read replicas. AWS takes care of the underlying infrastructure, including hardware provisioning, database setup, patching, and backups of our business.

We are using RDS in storing all our products and their information.
We have hundreds of brass products and we have maintained all our product database with RDS.
It is quick and easy also we have assigned to roles to avoid access to unauthorized users.
We have different databases of products depending upon our audience and purpose.

At our organization, we use it for our revenue management and some publisher application database services. It is also a component of our performance goals and SLA improvements, and is tied to our CI/CD processes and is a foundation for expansion because of its ease of use, low learning curve to implement, and backup services it can link to.

We use it as our main Mysql database repository. It is used to run our hub system which is accessed by retailers and applicants

We use RDS as a database service provider for multiple eCommerce and small business websites to deliver configuration and content data to several mainstream service softwares. We use this as a rate-based, scalable alternative to cPaneled phpMyAdmin setups. More control means throughput and service level can be increased instead of being subject to server limitations.

A certain business school have several data bases that are permanently updated with data coming from various sources. The challenge is that these data have several formats and templates, making it compliex to manage in an efficient and economic way. The need for a tool such as Amazon Relational Database Service (RDS) was imperative to improve management.

Amazon Relational Database Service (RDS) is simple to setup and makes scaling database in cloud a very easy task during high load scenarios. It supports backup and recovery. Amazon Relational Database Service (RDS) offers identity management that ensures people with assigned roles can only access the data. Amazon Relational Database Service (RDS) ensures availability of the workloads at all times and hence suited for production. It offers third party integrations also.

We are using it for storing our mysql and postgress database. We are alreardy using the AWS EC2 as compute engine so it makes easy to access it within the internal access and for better security purposes. So any external person cannot access it and our database remains safe. We are owning multiple RDS Engines for different product services.

Amazon RDS is easier to configure for any application that has structured data. Use cases such as User profiling, referencing, Indexing for filters & dashboard reporting are easier to handle with Amazon RDS.
Scope of the RDS has broader spectrum but it includes adding/Editing/handling Use case history, audit log, and rational Data in flat tables.

We use Amazon Relational Database Service (RDS) as a back-end database for our applications, both those we consume (as on-prem apps, not SaaS) and those we create for our customers (as a SaaS organisation ourselves). Amazon Relational Database Service (RDS) allows us to manage our databases in a serverless way, with scalability and with Amazon recommendations and management, without the overhead of running a server.

A group of managed services known as Amazon Relational Database Service (Amazon RDS) makes it simple to set up, run, and scale databases in the cloud. We required a dependable and scalable database service because we run some highly trafficked websites. Our issue is that we run at least two database engines concurrently. then we use Amazon Relational Database Service (RDS)

We use RDS to power our custom programs and applications. We are a bolting company with a wide range of data sets. We collect tool data in the field and expose it through an endpoint for other systems like SAP and MSDCRM. We enhance our custom programming by utilizing customer and location data to give our clients full visibility of their equipment and maintenance records. Multi-availability zones, full backup and restore capability on both our PROD and UAT instances, and monitoring help us stay on top of our database performance.

The relational database service is used to support cloud functions on Amazon with regard to Microsoft Business Central Cloud. This also allows easy access to cloud features including Microsoft business central finance erp functions, storage of key information in a secure cloud environment supported by world class Amazon support. It has been a great experience so far.

Our business has a need to use various different systems of record, data storage, and reporting. Some of which are extremely outdated. Amazon RDS has significantly helped us create a streamlined approach to how we track and pull data between these various systems. RDS makes it easy to combine all our data into a lake which can then be accessed at any time by approved users. This has allowed us to move away from archaic systems yet still retain the information that we require.

We use RDS service for MySQL databases to host our OLTP applications . It’s a very easy to use service and the GUI interface is user-friendly to monitor and perform database admin tasks . The version upgrade or patching is very seamless and done without issues most or times . MySQL databases running on Rds have better performance than ones hosted on physical machines.

We used the Amazon RDS to connect to our WordPress site. We wanted minimize the support and maintenance of our database server. Backups and one hundered percent uptime were the main priorities. Speed is important but it was not the main concern. Sometimes we would see the MySQL server crash in our VPS so we wanted to have a seperate database service. We wanted to isiolate any crashes.

In our line of work we are helping client technical team in selecting the right tools and most of the time Databases are the most sore pain points in terms of performance and manageability. In most of scenarios we are suggests managed databases and in AWS case RDS if the client's application needed a traditional relational DB and they dont want the overhead of maintenance and manageability.

There was a need to shift the on-premise RDBMS to the cloud due to reduce costs. Amazon RDS was the most reliable choice as we were shifting our workflows to AWS last year. We had to process a lot of data of students, which is relational in nature. Apart from the cost, our fellow staff members were already comfortable to use Amazon RDS. It had proven to be fast and reliable way to process our data.

We manage some high-traffic websites and some crucial applications. We needed a reliable and scalable database service. Our problem is that we use at least 3 database engines at the same time. We started using Amazon Relational Database Service (RDS) 8 years ago and using it exclusively for MySQL and PostgreSQL databases for websites. Then, 5 years ago, we started using its managed MSQ SQL databases. And this year, we switched from managed MySQL to AuroraDB. Amazon RDS allows us to set up and manage all the 3 servers in a very easy way, without worrying about updates or complicated setups. Amazon RDS gives us an incredible and reliable service that we use even on intensive websites without any problems.

We need 100% uptime and scalable database which RDS provides us with read/write replicas. Moreover it offers security features such as encryption at rest and in transit, authentication, and access control. This helps us meet our security and compliance needs. We store and manage product catalogs, customer data, order histories, and more. RDS ensures data consistency and reliability, which are vital for e-commerce operations

To migrate the database in SQL server onpremise to Cloud on RDS SQL Server Server

We use AWS RDS to manage our MySQL and PostgreSQL databases without having to worry about issues like replication error, hardware failure or logs(general, slow, error) analysis. It is being used primarily by the database team but indirectly a lot of teams use RDS. Since RDS manages a lot of tasks for us, it frees us to focus on the business side of things.