- Amazon Relational Database
- Database
- Tables
- Rows
- Columns
- Tables
- Database Engines
- Supported with Amazon Aurora, MariaDB, MSSQL, MySQL, Oracle, and PostgreSQL
- Key Features
- Multi-AZ (for disaster recovery)
- Supported with MariaDB, MSSQL, MySQL, Oracle, and PostgreSQL
- Synchronous replication
- Read Replicas (for performance)
- Supported with Amazon Aurora, MariaDB, MySQL, Oracle, and PostgreSQL
- Asynchronous replication
- Up to five read replicas
- Each replica has it’s own DNS endpoint address
- You may have read replicas of read replicas
- May be promoted to a standalone database (breaks replication)
- Multi-AZ (for disaster recovery)
- Components
- Connection string (db.abc.us-east-1.rds.amazonaws.com)
- Backups
- Automated backups (enabled by default)
- Retention period between one and thirty five days
- Daily backup and transaction logs for point in time recovery down to a second within the retention period
- Database snapshots
- Manual
- Restoring Backups
- The restored version will be a new RDS instance with a new DNS endpoint
- Automated backups (enabled by default)
- Encryption at Rest
- Supported with Amazon Aurora, MariaDB, MSSQL, MySQL, Oracle, and PostgreSQL
- Uses AWS KMS
- Database
- Amazon DynamoDB
- Database
- Collection | Table
- Document | Row
- Key Value Pairs | Fields
- Stored on SSD storage
- Spread across three geographically distinct data centers
- Read Models
- Eventual consistent reads (default and best read performance)
- Strongly consistent reads
- Database
- Amazon Redshift
- Configuration
- Single Node (160 GB)
- Multi-Node
- Leader node – Manages client connections and receives queries
- Compute node – Store data and perform queries (up to 128)
- Massive Parallel Processing – Automatically distributes data and query load across all nodes
- Backups
- Enabled by default (with a one day retention period)
- Maximum retention period is 35 days
- Redshift attempts to maintain at least three copies of your data (original and replica on the compute nodes and a backup in S3)
- Can asynchronously replicate snapshots to S3 in another region for disaster recovery
- Security
- Data is encrypted in transit using SSL
- Data is encrypted at rest using AES-256 encryption
- By default, Redshift manages key management
- You may manage your own keys using HSM
- You may manage your own keys using AWS KMS
- Availability
- Only available in one AZ
- Can restore snapshots to new AZs in the event of an AZ outage
- Configuration
- Amazon Aurora
- MySQL and PostgreSQL compatible relational database engine
- Start with 10 GB and may scale in 10 GB increments to 64 TB (storage autoscaling)
- Compute resources can scale up to 32 vCPUs and 244 GB of RAM
- Two copies of your data are contained in each availability zone with a minimum of three availability zones for six copies of your data
- Scaling
- Designed to transparently handle the loss of up to two copies of data without affecting database write availability and up to three copies without affect read availability
- Storage is self-healing
- Aurora Read Replicas
- Aurora replicas (up to 15 with automated failover)
- MySQL read replicas (up to 5 with no automated failover)
- Backups
- Automated backups enabled by default (do not impact database performance)
- You may take snapshots (do not impact performance)
- You may share Aurora snapshots with other AWS accounts
-
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