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Amazon Aurora
MySQL and PostgreSQL-compatible relational database built for the cloud
Amazon Aurora
MySQL and PostgreSQL-compatible relational database built for the cloud
Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud, that combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open source databases.
Amazon Aurora is up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. Amazon Aurora is fully managed by Amazon Relational Database Service (RDS), which automates time-consuming administration tasks like hardware provisioning, database setup, patching, and backups.
Amazon Aurora features a distributed, fault-tolerant, self-healing storage system that auto-scales up to 128TB per database instance. It 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 (AZs).
Visit the Amazon RDS Management Console to create your first Aurora database instance and start migrating your MySQL and PostgreSQL databases.
Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud, that combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open source databases.
Amazon Aurora is up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. Amazon Aurora is fully managed by Amazon Relational Database Service (RDS), which automates time-consuming administration tasks like hardware provisioning, database setup, patching, and backups.
Amazon Aurora features a distributed, fault-tolerant, self-healing storage system that auto-scales up to 128TB per database instance. It 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 (AZs).
Visit the Amazon RDS Management Console to create your first Aurora database instance and start migrating your MySQL and PostgreSQL databases.
Benefits
High Availability and Durability
Amazon Aurora is designed to offer greater than 99.99% availability, replicating 6 copies of your data across 3 Availability Zones and backing up your data continuously to Amazon S3. It transparently recovers from physical storage failures; instance failover typically takes less than 30 seconds.
Fully Managed
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.
Highly Secure
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 Amazon 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.
Migration Support
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 Amazon Database Migration Service for a secure migration with minimal downtime.
High Performance and Scalability
Get 5X the throughput of standard MySQL and 3X the throughput of standard PostgreSQL. You can easily scale your database deployment up and down from smaller to larger instance types as your needs change, or let Aurora Serverless handle scaling automatically for you. 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 128TB per database instance.
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.
Benefits
High Availability and Durability
Amazon Aurora is designed to offer greater than 99.99% availability, replicating 6 copies of your data across 3 Availability Zones and backing up your data continuously to Amazon S3. It transparently recovers from physical storage failures; instance failover typically takes less than 30 seconds.
Fully Managed
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.
Highly Secure
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 Amazon 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.
Migration Support
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 Amazon Database Migration Service for a secure migration with minimal downtime.
High Performance and Scalability
Get 5X the throughput of standard MySQL and 3X the throughput of standard PostgreSQL. You can easily scale your database deployment up and down from smaller to larger instance types as your needs change, or let Aurora Serverless handle scaling automatically for you. 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 128TB per database instance.
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.
Use Cases
Software as a Service (SaaS) Applications
Enterprise Applications
Web and Mobile Gaming
Use Cases
Software as a Service (SaaS) Applications
Enterprise Applications
Web and Mobile Gaming
Web and mobile games that are built to operate at very large scale need a database with high throughput, massive storage scalability, and high availability. Amazon Aurora fulfills the needs of such highly demanding applications with enough room for future growth. Since Amazon Aurora does not have any licensing constraints, it perfectly fits the variable usage pattern of these applications.
Migrating Your Databases to Amazon Aurora
If you're currently using Amazon RDS for MySQL or Amazon RDS for PostgreSQL...
If you're currently using Amazon RDS for MySQL or Amazon RDS for PostgreSQL, migrating to Aurora is as simple as creating a snapshot and launching an Aurora instance from that snapshot. You can follow the simple, step by step instructions in the user guide to perform the migration. Since Amazon Aurora is fully MySQL- and PostgreSQL-compatible, your applications can easily be reconnected to the new instance without any changes.
MySQL and PostgreSQL databases running on Amazon EC2 or on-premises can also be easily migrated. Create a snapshot backup of your existing database, upload it to Amazon S3, and use it to directly create an Amazon Aurora cluster. You can also import data stored in an Amazon S3 bucket into a table in an Amazon Aurora database. Standard MySQL import and export tools or MySQL binlog replication are also supported. Migrating to Amazon Aurora from supported databases running on Amazon EC2 or on-premises can also be done using Amazon Database Migration Service.
If you're currently using Oracle or Microsoft SQL Server...
Migrating data from Oracle and Microsoft SQL Server databases to Amazon Aurora can be easily done using Amazon Database Migration Service. You can begin a data migration with just a few clicks, and your source database remains fully operational during the migration, minimizing downtime to applications using that database.
Migrating Your Databases to Amazon Aurora
If you're currently using Amazon RDS for MySQL or Amazon RDS for PostgreSQL...
If you're currently using Amazon RDS for MySQL or Amazon RDS for PostgreSQL, migrating to Aurora is as simple as creating a snapshot and launching an Aurora instance from that snapshot. You can follow the simple, step by step instructions in the user guide to perform the migration. Since Amazon Aurora is fully MySQL- and PostgreSQL-compatible, your applications can easily be reconnected to the new instance without any changes.
MySQL and PostgreSQL databases running on Amazon EC2 or on-premises can also be easily migrated. Create a snapshot backup of your existing database, upload it to Amazon S3, and use it to directly create an Amazon Aurora cluster. You can also import data stored in an Amazon S3 bucket into a table in an Amazon Aurora database. Standard MySQL import and export tools or MySQL binlog replication are also supported. Migrating to Amazon Aurora from supported databases running on Amazon EC2 or on-premises can also be done using Amazon Database Migration Service.
If you're currently using Oracle or Microsoft SQL Server...
Migrating data from Oracle and Microsoft SQL Server databases to Amazon Aurora can be easily done using Amazon Database Migration Service. You can begin a data migration with just a few clicks, and your source database remains fully operational during the migration, minimizing downtime to applications using that database.
