With Kerberos authentication, your Amazon RDS database works with AWS Managed Active Directory (AD) to authenticate and centrally manage credentials. You can also tag your Amazon RDS resources and control the actions that your IAM users and groups can take on groups of resources that have the same tag and associated value.įor example, you can configure your IAM rules to ensure developers are able to modify "Development" database instances, but only database administrators can make changes to "Production" database instances. With Amazon Aurora, you can achieve high availability with an SLA of up to 99.99% using Amazon RDS Multi-AZ technology to automate failover to one of up to 15 Aurora Replicas you have created in any three Availability Zones.Ĭombined with Multi-AZ, cross-Region read replicas can increase resiliency and performance by asynchronously replicating data across Regions, as part of an effective disaster recovery solution.Īmazon RDS supports several ways to authenticate users, including AWS Identity and Access Management (IAM) and Kerberos.Īmazon RDS is integrated with IAM and provides you the ability to control the actions that your AWS IAM users and groups can take on specific Amazon RDS resources, from database instances through snapshots, parameter groups, and option groups. With Multi-AZ with two readable standbys customers can deploy one primary and two readable standby instances across three AZs for failovers in typically under 35 seconds, up to 2x faster transaction commit latency compared to Amazon RDS Multi-AZ with one standby, and additional read capacity. When you provision a Multi-AZ database instance, Amazon RDS synchronously replicates your data to a standby instance in a different Availability Zone (AZ). You can run near-real time analytics on transactional data without having to manage infrastructure for data pipelines when using both Amazon Aurora Serverless and Amazon Redshift Serverless for your zero-ETL integration.Īmazon RDS Multi-AZ deployments provide enhanced availability and durability for database instances with a SLA of up to 99.95%, making them a natural fit for production database workloads. You can consolidate data from multiple AWS databases, including Amazon Aurora or Amazon RDS, and replicate it into one Amazon Redshift data warehouse to gain more insights across your data. Once data is available in Amazon Redshift, you can start analyzing it immediately and apply advanced features like data sharing, materialized views, and Amazon Redshift ML to get holistic and predictive insights. Transactional data is automatically, continuously, and quickly replicated after being written into your Amazon Aurora or Amazon RDS database and seamlessly made available in Amazon Redshift. Using zero-ETL integrations with Amazon Redshift, you can remove the need to build and manage your own complex data pipelines that perform extract, transform, and load (ETL) operations. Zero-ETL integrations with Amazon Redshift provide access to analytics and machine learning (ML) capabilities on petabytes of your transactional data from your Aurora MySQL-Compatible Edition, Aurora PostgreSQL-Compatible Edition (Preview), and RDS for MySQL (Preview) databases. One of the key advantages of Amazon RDS is that it handles database management tasks, such as provisioning, patching, backup, recovery, failure detection, and repair.Īmazon RDS provides you with three different deployment environments including deploying in the cloud with Amazon Aurora or Amazon RDS, hybrid workloads with Amazon RDS on AWS Outposts, and deploying with privileged access with Amazon RDS Custom.Īs with all AWS services, there are no upfront investments required and you pay only for the resources you use, learn more on the Amazon RDS pricing page. This means that the code, applications, and tools you already use today with your existing databases can be used with Amazon RDS. Amazon Relational Database Service (Amazon RDS) is a managed relational database service that offers the choice of eight popular database engines Amazon Aurora PostgreSQL-Compatible Edition, Amazon Aurora MySQL-Compatible Edition, RDS for PostgreSQL, RDS for MySQL, RDS for MariaDB, RDS for SQL Server, RDS for Oracle, and RDS for Db2.
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