Amazon RDS
By Amazon Web Services
Amazon RDS (Relational Database Service) is a managed AWS service that provisions, operates, and scales relational databases such as MySQL, PostgreSQL, MariaDB, Oracle, and SQL Server without requiring manual server administration.
Definition
Amazon RDS (Relational Database Service) is a managed AWS service that provisions, operates, and scales relational databases such as MySQL, PostgreSQL, MariaDB, Oracle, and SQL Server without requiring manual server administration.
Overview
Running a relational database in production traditionally means handling provisioning, patching, backups, replication, and failover manually. RDS automates that operational work: users choose a database engine and instance size, and AWS handles routine maintenance tasks, automated backups, and — with Multi-AZ deployments — automatic failover to a standby replica if the primary instance fails, all while exposing the same relational database engine (like PostgreSQL or MySQL) applications already know how to talk to. Because RDS supports several widely used engines rather than a single proprietary one, teams can generally migrate an existing self-managed database to RDS with minimal application changes, gaining managed backups, monitoring, and scaling without switching database technology. Read replicas let read-heavy applications scale horizontally, and RDS integrates with the rest of AWS — VPC networking, IAM, and monitoring — making it the default relational database choice for applications already running on AWS, distinct from NoSQL alternatives like Amazon DynamoDB that trade relational flexibility for scale.
Key Features
- Managed provisioning, patching, and maintenance for relational databases
- Support for multiple engines: MySQL, PostgreSQL, MariaDB, Oracle, SQL Server
- Automated backups and point-in-time recovery
- Multi-AZ deployments for automatic failover and high availability
- Read replicas for scaling read-heavy workloads
- Integration with AWS IAM, VPC networking, and monitoring tools
- Storage auto-scaling as data volume grows