Appendix: Database Services - AWS Certified Cloud Practitioner Study Guide

Amazon Aurora

• MySQL and PostgreSQL-compatible relational database
• Up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases
• Fully managed by Amazon Relational Database Service (RDS)
• Distributed, fault-tolerant, self-healing storage system that auto-scales up to 128TB per database instance
• Up to 15 low-latency read replicas
• Point in time recovery
• Continuous backup to S3
• Replication across three AZs

Amazon DynamoDB

• Fully managed, serverless, key-value NoSQL database
• Single-digit millisecond performance
• Automatic multi-region replication
• Encryption at rest
• Automatic backup and restore
• Auto-scaling

Amazon ElastiCache

• Fully managed, in-memory caching service
• Microsecond latency
• Improve app and database performance
• Use as storage for cases that don't require durability

Amazon RDS

• Cost efficient and resizable relational database instances
• Supports multiple database engines - Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle Database, and SQL Server
• Several instance types optimized for memory, performance, or I/O
• Can use AWS Database Migration Service to migrate data into RDS instance

Amazon Redshift

• Cloud data warehouse
• Uses SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes
• Analyze exabytes of data and run complex analytical queries