Amazon Aurora is a MySQL and PostgreSQL compatible relational database built for the cloud, that combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases.
Aurora is up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. It provides the security, availability, and reliability of commercial-grade databases at 1/10th the cost. Aurora is fully managed by Amazon Relational Database Service (RDS), which automates time-consuming administration tasks like hardware provisioning, database setup, patching, and backups.
Aurora features a distributed, fault-tolerant, self-healing storage system that auto-scales up to 64TB per database instance. Aurora delivers high performance and availability with up to 15 low-latency read replicas, point-in-time recovery, continuous backup to Amazon S3, and replication across three Availability Zones.
Visit the RDS Management Console to create your first Aurora database instance and start migrating your MySQL and PostgreSQL databases.
Amazon Aurora Use Cases
- Enterprise Applications
- Software as a Service (SaaS) Applications
- Web and Mobile Gaming
High Performance and Scalability
Amazon Aurora provides 5X the throughput of standard MySQL and 3X the throughput of standard PostgreSQL running on the same hardware. This performance is on par with commercial databases, at 1/10th the cost. You can easily scale your database deployment up and down from smaller to larger instance types as your needs change. To scale read capacity and performance, you can add up to 15 low latency read replicas across three Availability Zones. Amazon Aurora automatically grows storage as needed, up to 64TB per database instance. Learn more: MySQL | PostgreSQL.
High Availability and Durability
Amazon Aurora offers greater than 99.99% availability. It has fault-tolerant and self-healing storage built for the cloud that replicates six copies of your data across three Availability Zones. Aurora continuously backs up your data to Amazon S3, and transparently recovers from physical storage failures; instance failover typically takes less than 30 seconds. You can also backtrack within seconds to a previous point in time, to recover from user errors. Learn more: MySQL | PostgreSQL.
Amazon Aurora provides multiple levels of security for your database. These include network isolation using Amazon VPC, encryption at rest using keys you create and control through AWS Key Management Service (KMS) and encryption of data in transit using SSL. On an encrypted Amazon Aurora instance, data in the underlying storage is encrypted, as are the automated backups, snapshots, and replicas in the same cluster. Learn more: MySQL | PostgreSQL.
MySQL and PostgreSQL Compatible
The Amazon Aurora database engine is fully compatible with existing MySQL and PostgreSQL open source databases, and adds compatibility for new releases regularly. This means you can easily migrate MySQL or PostgreSQL databases to Aurora using standard MySQL or PostgreSQL import/export tools or snapshots. It also means the code, applications, drivers, and tools you already use with your existing databases can be used with Amazon Aurora with little or no change. Learn more: MySQL | PostgreSQL.
Amazon Aurora is fully managed by Amazon Relational Database Service (RDS). You no longer need to worry about database management tasks such as hardware provisioning, software patching, setup, configuration, or backups. Aurora automatically and continuously monitors and backs up your database to Amazon S3, enabling granular point-in-time recovery. You can monitor database performance using Amazon CloudWatch, Enhanced Monitoring, or Performance Insights, an easy-to-use tool that helps you quickly detect performance problems. Learn more: MySQL | PostgreSQL.
MySQL and PostgreSQL compatibility make Amazon Aurora a compelling target for database migrations to the cloud. If you're migrating from MySQL or PostgreSQL, see our migration documentation for a list of tools and options. To migrate from commercial database engines, you can use the AWS Database Migration Service for a secure migration with minimal downtime. Learn more: MySQL | PostgreSQL.