Amazon RDS

We use Amazon Aurora as one of the databases used for hosting a product in our Edtech SaaS Platform GIDE.AI.

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 started using RDS as an alternative to our BE system since, at the beginning, the team did not have experience or knowledge about BE frameworks, but it was necessary to maintain a relationship between the data of the projects being executed and the RDS services of Amazon were of great help, since it is an out of the box solution. As well as it also served as a starting point to understand how our BE system should be structured later.

Our company needed a reliable and fast solution for storing our customer data and Amazon Relational Database Service was a good choice because of all the set of features it offers. On top of the relational storage, our company could comply with market standards by easily having replication, backup, patching and user management easily implemented natively in the solution. What is also great about Amazon Relational Database Service is that you can manage everything using terraform, making it easy to reproduce the configurations in multiple environments.

Amazon Relational Database Service (RDS) is used in our company at quite a large scale. We have migrated all of our server infrastructure to the Amazon Web Services (AWS) cloud, so making use of the Relational Database Service was a no-brainer for us.
Most of our systems are connected to an RDS instance.

In healthcare, managing patient records and sensitive data securely is crucial. RDS offers encrypted storage, ensuring data security and compliance with regulations like HIPAA (Health Insurance Portability and Accountability Act). This encryption extends to data in transit and at rest. With RDS, you can set up multi-AZ (Availability Zone) deployments for high availability. This is vital in healthcare, where database downtime can directly impact patient care. In case of disasters, RDS facilitates quick recovery, minimizing data loss.

I used Amazon Relational Database Service for Databricks Technical Field Telemetry(TFT) Project, which is an internal project for field engineering teams where they manage customer engagement, interactions, feedbacks. This majorly helped to improve our product by managing each team, each individual performances, thus they can set targets for improvement plans. It also displays a hit score which is the benchmark for internal teams. We used Amazon Relational Database Service serverless to deploy the backend database, which is lightening fast, reliable DBMS.

RDS simplifies database management tasks like provisioning, patching, backup, recovery etc. This reduces the administrative burden and allows teams to focus on application development rather than database maintenance. Since this is a managed service it provides in built high availability and scalability. Also we can secure our data by encrypting them at both transit and rest. One more useful use case is, we can selectively encrypt sensitive data to give extra protection

Storing relational auditing data for our digital ecosystem which includes desktop website, mobile website and mobile apps to get meaningful insights so as to take next steps.

In my organization we use Amazon Relational Database Service (RDS) for storing relational data which is used by our Internal teams for their workloads. In our current use case Amazon RDS addressed the problems of managing the Database, offer scalability and High availability on demand reducing the operational burden on the team.

We utilize Amazon Relational Database Service to host MySQL RDBS to store the data related to custom apps for our dev environment. It's super easy & fast to set up the database instances in a few clicks from the AWS management console. A lot of times, the developers in our team aren't that expert when it comes to managing the database administration, & hence for this very reason, Amazon Relational Database Service is our preferred DB service as it simplifies time-consuming admin tasks.

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

We use RDS as part of the infrastructure as a service that supports our application. In the beginning, we struggled a bit with fine-tuning and monitoring but once we incorporated the tools everything worked very well. I consider that the scalability and backup tools are adequate for our requirements.
While availability and provisioning speed are similar to other IaaS, they are still important.

I utilize Amazon RDS as the backbone for content management and stored user information for our corporate web presence. I was looking for a scalable relational database that would be an easy transition with my background in MySQL. I didn't want to spend a lot of time setting up and managing replication and backup, and I didn't want daily maintenance tasks. RDS fit the bill nicely, and coupled with my EC2-based web hosting, provides a easy-to-implement security.

RDS is pivotal to our data strategy, powering hundreds of databases within our infrastructure. Its reliability and scalability ensure optimal performance and data integrity. Rigorous security measures, including backups and monitoring, maintain database stability. RDS flexibility accommodates evolving business needs while optimizing performance and cost-efficiency.

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 used Amazon Relational Database Service (RDS) as our primary RDMS for querying and viewing all of our data in one place. Use cases include analyzing player data, performance, and user acquisition

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.

Adding read replicas or growing our database laterally (by adding instances) or vertically (by increasing instance size) is simple with RDS. This adaptability guarantees that our database can manage rising workloads. RDS offers daily automated backups and lets our specify retention times. Providing choices for data recovery, we can restore our database to any point throughout the retention term.

During one of our recent e-commerce projects, we encountered a significant database infrastructure challenge. The rapid growth in product listings and customer data led to frustratingly slow response times and concerns about data integrity. To address these issues, we made a strategic decision to migrate our database to Amazon RDS, which proved to be highly effective in bringing about remarkable improvements. Amazon RDS became the cornerstone of our database management strategy, offering enhanced reliability and high availability through automated backups and multi-AZ deployments. These RDS features ensured that our database remained up-to-date, secure, and consistently accessible for seamless operations. In particular, Amazon RDS played a pivotal role in significantly boosting website performance, elevating data reliability, and establishing a cost-efficient approach to database management. These contributions were instrumental in the overall success of our project, highlighting the transformative impact of Amazon RDS on our e-commerce venture.

We utilize Amazon RDS to host our PostgreSQL database. RDS instance serves as the repository for all our application's data, and it has proven to be highly dependable. One key benefit we found of using RDS is its scalability. We can easily adjust the database capacity to accommodate our growing data needs without significant hassle. This scalability ensures our application can handle increased user demands without compromising performance. Amazon RDS offers convenience in managing database operations. Routine tasks such as backups, software patching, and monitoring are handled seamlessly by the service, freeing up our team to focus on other critical aspects of our application. Also, we've found RDS to be cost-efficient as we pay only for the resources we use; we can effectively manage our database costs and optimize our budget allocation.

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.

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 RDS to back majority of our transactional data for our insurance sales platform. It enables easier maintenance by our operations team compared to an on prem instance from provisioning new instances to configuration changes to our ability to scale and support backs and DR.