Amazon RDS

RDS is getting used for keeping the application data for multiple microservices. Amazon managed postgres RDS with multiple AZs for High availability. The integration with applications is quote easier with RDS as it provides a cluster endpoint to be used with services

• Using reserved instances helped reducing the overall DB cost
• Blue green deployment helped managing the postgres versions migrations

Many teams, including mine, use Amazon RDS as an operational data store for applications. Amazon RDS is a great service that provides seamless setup, read replicas, intuitive scale-in and scale-out options, built-in monitoring, and much more.

• RDS has had a positive ROI. We transferred from Mongo to RDS and saved 80% of our cost.
• Due to inbuilt monitoring, we never had database failures, leading to a 100% reduction in failures.

MySQL

We use RDS for database development and production. Its fully managed capacity and scalability improve productivity and make us tension-free in all environments. I help us create and build instances in seconds, which the teams require, and through which they easily integrate their service with a few clicks.

• Scaling of our service.
• Security of production data,
• Easy to manage and access rights,

Google Cloud Datastore and Google Cloud BigTable

Google Cloud BigTable, Google Cloud Datastore, Amazon Elastic Compute Cloud (EC2)

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.

• Improved Database Admin tasks like Setup of Backup, Disaster Recovery
• Reduced Downtime due to featured like Multi AZ, Read Replicas, Proxy
• Improved Security by features like EC2 instance connect to access DB securely
• User Experience improved due to Read/Write Query improvements followed by suggestions from Enhanced and Performance monitorings

Amazon Aurora, Amazon DynamoDB, Amazon RDS Performance Insights and Amazon DocumentDB (with MongoDB compatibility)

MongoDB Atlas, Amazon DocumentDB (with MongoDB compatibility), HashiCorp Vault

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.

• RDS decreases the administrative load associated with database administration greatly.
• RDS enables you to swiftly provision and scale database instances, allowing for quicker application development and deployment.

Google Cloud SQL

Google Cloud SQL