Document History - Amazon Aurora

Document History

Current API version: 2014-10-31

The following table describes important changes to the Amazon Aurora User Guide. For notification about updates to this documentation, you can subscribe to an RSS feed. For information about Amazon Relational Database Service (Amazon RDS), see the Amazon Relational Database Service User Guide.

Note

Before August 31, 2018, Amazon Aurora was documented in the Amazon Relational Database Service User Guide. For earlier Aurora document history, see Document History in the Amazon Relational Database Service User Guide.

Change Description Date

Aurora PostgreSQL supports major version upgrades to PostgreSQL version 11

With Aurora PostgreSQL, you can now upgrade the DB engine to major version 11. For more information, see Upgrading the PostgreSQL DB Engine for Aurora PostgreSQL.

July 28, 2020

Aurora PostgreSQL versions 3.1.3, 2.4.3, and 1.6.3

New patch versions of Aurora PostgreSQL include version 3.1.3 (compatible with PostgreSQL 11.6), version 2.4.3 (compatible with PostgreSQL 10.11), and version 1.6.3 (compatible with PostgreSQL 9.6.16). For more information, see Database Engine Versions for Amazon Aurora PostgreSQL.

July 27, 2020

Aurora PostgreSQL versions 3.2.2, 2.5.2, and 1.7.2

New versions of Amazon Aurora with PostgreSQL compatibility include version 3.2.2 (compatible with PostgreSQL 11.7), version 2.5.2 (compatible with PostgreSQL 10.12), and version 1.7.2 (compatible with PostgreSQL 9.6.17). For more information, see Database Engine Versions for Amazon Aurora PostgreSQL.

July 9, 2020

Amazon Aurora supports AWS PrivateLink

Amazon Aurora now supports creating Amazon VPC endpoints for Amazon RDS API calls to keep traffic between applications and Aurora in the AWS network. For more information, see Amazon Aurora and Interface VPC Endpoints (AWS PrivateLink).

July 9, 2020

RDS Proxy generally available

RDS Proxy is now generally available. You can use RDS Proxy with RDS MySQL, Aurora MySQL, RDS PostgreSQL, and Aurora PostgreSQL for production workloads. For more information about RDS Proxy, see "Managing Connections with Amazon RDS Proxy" in the Amazon RDS User Guide. or the Aurora User Guide.

June 30, 2020

Aurora Serverless version 2.07.1

Aurora Serverless with MySQL 5.7 compatibility is available. The release includes features and bug fixes based on Aurora MySQL version 2.07.1. For more information about Aurora Serverless, see Using Amazon Aurora Serverless.

June 24, 2020

Aurora global database write forwarding

You can now enable write capability on secondary clusters in a global database. With write forwarding, you issue DML statements on a secondary cluster, Aurora forwards the write to the primary cluster, and the updated data is replicated to all the secondary clusters. For more information, see Write Forwarding for Secondary AWS Regions with an Aurora Global Database.

June 18, 2020

Aurora MySQL version 2.08.1

Aurora MySQL version 2.08.1 is available.

June 18, 2020

Aurora MySQL version 1.22.2 for parallel query clusters

Aurora MySQL version 1.22.2 is available when you create a parallel query cluster.

June 18, 2020

Aurora MySQL version 1.20.1 for parallel query clusters

Aurora MySQL version 1.20.1 is available when you create a parallel query cluster.

June 11, 2020

Aurora supports integration with AWS Backup

You can use AWS Backup to manage backups of Aurora DB clusters. For more information, see Overview of Backing Up and Restoring an Aurora DB Cluster.

June 10, 2020

Aurora PostgreSQL supports db.t3.large DB instance classes

You can now create Aurora PostgreSQL DB clusters that use the db.t3.large DB instance classes. For more information, see DB Instance Classes.

June 5, 2020

Aurora PostgreSQL versions 3.2.1, 2.5.1, and 1.7.1

New versions of Amazon Aurora with PostgreSQL compatibility include version 3.2.1 (compatible with PostgreSQL 11.7), version 2.5.1 (compatible with PostgreSQL 10.12), and version 1.7.1 (compatible with PostgreSQL 9.6.17). For more information, see Database Engine Versions for Amazon Aurora PostgreSQL.

June 4, 2020

Aurora Global Database supports PostgreSQL version 11.7 and managed recovery point objective (RPO)

You can now create Aurora global databases for the PostgreSQL database engine version 11.7. You can also manage how a PostgreSQL global database recovers from a failure using a recovery point objective (RPO). For more information, see Cross-Region Disaster Recovery for Aurora Global Databases.

June 4, 2020

Aurora MySQL version 2.08.0

Aurora MySQL version 2.08.0 is available.

June 2, 2020

Aurora MySQL version 1.19.6 for parallel query clusters

Aurora MySQL version 1.19.6 is available when you create a parallel query cluster.

June 2, 2020

Aurora MySQL supports database monitoring with database activity streams

Aurora MySQL now includes database activity streams, which provide a near-real-time data stream of the database activity in your relational database. For more information, see Using Database Activity Streams.

June 2, 2020

The query editor available in additional AWS Regions

The query editor for Aurora Serverless is now available in additional AWS Regions. For more information, see Availability of the Query Editor.

May 28, 2020

The Data API available in additional AWS Regions

The Data API is now available in additional AWS Regions. For more information, see Availability of the Data API.

May 28, 2020

RDS Proxy available in Canada (Central) Region

You can now use the RDS Proxy preview in the Canada (Central) Region. For more information about RDS Proxy, see Managing Connections with Amazon RDS Proxy (Preview).

May 28, 2020

Aurora Global Database and cross-Region read replicas

For an Aurora global database, you can now create an Aurora MySQL cross-Region read replica from the primary cluster in the same region as a secondary cluster. See Working with Amazon Aurora Global Database and Replicating Amazon Aurora MySQL DB for more information about Aurora Global Database and cross-Region read replicas.

May 18, 2020

RDS Proxy available in more AWS Regions

You can now use the RDS Proxy preview in the US West (N. California) Region, the Europe (London) Region, the Europe (Frankfurt) Region, the Asia Pacific (Seoul) Region, the Asia Pacific (Mumbai) Region, the Asia Pacific (Singapore) Region, and the Asia Pacific (Sydney) Region. For more information about RDS Proxy, see Managing Connections with Amazon RDS Proxy (Preview).

May 13, 2020

Aurora with PostgreSQL compatibility supports on-premises or self-hosted Microsoft Active Directory

You can now use an on-premises or self-hosted Active Directory for Kerberos authentication of users when they connect to your Aurora PostgreSQL DB clusters. For more information, see Using Kerberos Authentication with Aurora PostgreSQL.

May 7, 2020

Aurora MySQL multi-master clusters available in more AWS Regions

You can now create Aurora multi-master clusters in the Asia Pacific (Seoul) Region, the Asia Pacific (Tokyo) Region, the Asia Pacific (Mumbai) Region, and the Europe (Frankfurt) Region. For more information about multi-master clusters, see Working with Aurora Multi-Master Clusters.

May 7, 2020

Performance Insights supports analyzing statistics of running Aurora MySQL queries

You can now analyze statistics of running queries with Performance Insights for Aurora MySQL DB instances. For more information, see Analyzing Statistics of Running Queries.

May 5, 2020

Java client library for Data API generally available

The Java client library for the Data API is now generally available. You can download and use a Java client library for Data API. It enables you to map your client-side classes to requests and responses of the Data API. For more information, see Using the Java Client Library for Data API.

April 30, 2020

Amazon Aurora available in the Europe (Milan) Region

Aurora is now available in the Europe (Milan) Region. For more information, see Regions and Availability Zones.

April 28, 2020

Amazon Aurora available in the Europe (Milan) Region

Aurora is now available in the Europe (Milan) Region. For more information, see Regions and Availability Zones.

April 27, 2020

Amazon Aurora available in the Africa (Cape Town) Region

Aurora is now available in the Africa (Cape Town) Region. For more information, see Regions and Availability Zones.

April 22, 2020

Aurora PostgreSQL versions 3.1.2, 2.4.2, and 1.6.2

New patch versions of Aurora PostgreSQL include version 3.1.2 (compatible with PostgreSQL 11.6), version 2.4.2 (compatible with PostgreSQL 10.11), and version 1.6.2 (compatible with PostgreSQL 9.6.16). For more information, see Database Engine Versions for Amazon Aurora PostgreSQL.

April 17, 2020

Aurora MySQL version 2.07.2

Aurora MySQL version 2.07.2 is available.

April 17, 2020

Aurora PostgreSQL versions 3.1.1, 2.4.1, and 1.6.1

New patch versions of Aurora PostgreSQL include version 3.1.1 (compatible with PostgreSQL 11.6), version 2.4.1 (compatible with PostgreSQL 10.11), and version 1.6.1 (compatible with PostgreSQL 9.6.16). For more information, see Database Engine Versions for Amazon Aurora PostgreSQL.

April 16, 2020

Aurora PostgreSQL now supports db.r5.16xlarge and db.r5.8xlarge DB instance classes

You can now create Aurora PostgreSQL DB clusters running PostgreSQL that use the db.r5.16xlarge and db.r5.8xlarge DB instance classes. For more information, see Hardware Specifications for DB Instance Classes for Aurora.

April 8, 2020

Amazon RDS Proxy for PostgreSQL

Amazon RDS Proxy is now available for PostgreSQL. You can use RDS Proxy to reduce the overhead of connection management on your cluster and also the chance of "too many connections" errors. The RDS Proxy is currently in public preview for PostgreSQL. For more information, see Managing Connections with Amazon RDS Proxy (Preview).

April 8, 2020

Aurora Global Database now supports Aurora PostgreSQL

You can now create Aurora global databases for the PostgreSQL database engine. An Aurora global database spans multiple AWS Regions, enabling low latency global reads and disaster recovery from region-wide outages. For more information, see Working with Amazon Aurora Global Database.

March 10, 2020

Aurora MySQL version 1.22.2

Aurora MySQL version 1.22.2 is available.

March 5, 2020

Aurora MySQL version 1.20.1

Aurora MySQL version 1.20.1 is available.

March 5, 2020

Aurora MySQL version 1.19.6

Aurora MySQL version 1.19.6 is available.

March 5, 2020

Aurora MySQL version 1.17.9

Aurora MySQL version 1.17.9 is available.

March 5, 2020

Support for major version upgrades for Aurora PostgreSQL

With Aurora PostgreSQL, you can now upgrade the DB engine to a major version. By doing so, you can skip ahead to a newer major version when you upgrade select PostgreSQL engine versions. For more information, see Upgrading the PostgreSQL DB Engine for Aurora PostgreSQL.

March 4, 2020

Aurora PostgreSQL supports Kerberos authentication

You can now use Kerberos authentication to authenticate users when they connect to your Aurora PostgreSQL DB clusters. For more information, see Using Kerberos Authentication with Aurora PostgreSQL.

February 28, 2020

Aurora PostgreSQL versions 3.1, 2.4, and 1.6

New versions of Amazon Aurora with PostgreSQL compatibility include version 3.1 (compatible with PostgreSQL 11.6), version 2.4 (compatible with PostgreSQL 10.11), and version 1.6 (compatible with PostgreSQL 9.6.16). For more information, see Database Engine Versions for Amazon Aurora PostgreSQL.

February 11, 2020

The Data API supports AWS PrivateLink

The Data API now supports creating Amazon VPC endpoints for Data API calls to keep traffic between applications and the Data API in the AWS network. For more information, see Creating an Amazon VPC Endpoint (AWS PrivateLink) for the Data API.

February 6, 2020

Aurora machine learning support in Aurora PostgreSQL

The aws_ml Aurora PostgreSQL extension provides functions you use in your database queries to call Amazon Comprehend for sentiment analysis and Amazon SageMaker to run your own machine learning models. For more information, see Using Machine Learning (ML) Capabilities with Aurora.

February 5, 2020

Aurora PostgreSQL supports exporting data to Amazon S3

You can query data from an Aurora PostgreSQL DB cluster and export it directly into files stored in an Amazon S3 bucket. For more information, see Exporting Data from an Aurora PostgreSQL DB Cluster to Amazon S3.

February 5, 2020

Support for exporting DB snapshot data to Amazon S3

Amazon Aurora supports exporting DB snapshot data to Amazon S3 for MySQL and PostgreSQL. For more information, see Exporting DB Snapshot Data to Amazon S3.

January 9, 2020

Aurora MySQL version 2.07.1

Aurora MySQL version 2.07.1 is available.

December 23, 2019

Aurora MySQL version 1.22.1

Aurora MySQL version 1.22.1 is available.

December 23, 2019

Aurora MySQL release notes in Document History

This section now includes history entries for Aurora with MySQL compatibility release notes for versions released after August 31, 2018. For the full release notes for a specific version, choose the link in the first column of the history entry.

December 13, 2019

Amazon RDS Proxy

You can reduce the overhead of connection management on your cluster, and reduce the chance of "too many connections" errors, by using the Amazon RDS Proxy. You associate each proxy with an RDS DB instance or Aurora DB cluster. Then you use the proxy endpoint in the connection string for your application. The Amazon RDS Proxy is currently in a public preview state. It supports the Aurora MySQL database engine. For more information, see Managing Connections with Amazon RDS Proxy (Preview).

December 3, 2019

Data API for Aurora Serverless supports data type mapping hints

You can now use a hint to instruct the Data API for Aurora Serverless to send a String value to the database as a different type. For more information, see Calling the Data API.

November 26, 2019

Data API for Aurora Serverless supports a Java client library (Preview)

You can download and use a Java client library for Data API. It enables you to map your client-side classes to requests and responses of the Data API. For more information, see Using the Java Client Library for Data API.

November 26, 2019

Aurora PostgreSQL version 3.0

Amazon Aurora PostgreSQL version 3.0 is available and compatible with PostgreSQL 11.4. Supported AWS Regions include us-east-1, us-east-2, us-west-2, eu-west-1, ap-northeast-1, and ap-northeast-2. For more information, see Database Engine Versions for Amazon Aurora PostgreSQL.

November 26, 2019

Aurora PostgreSQL is FedRAMP HIGH eligible

Aurora PostgreSQL is FedRAMP HIGH eligible. For details about AWS and compliance efforts, see AWS Services In Scope by Compliance Program.

November 26, 2019

READ COMMITTED isolation level enabled for Amazon Aurora MySQL Replicas

You can now enable the READ COMMITTED isolation level on Aurora MySQL Replicas. Doing so requires enabling the aurora_read_replica_read_committed_isolation_enabled configuration setting at the instance level. Using the READ COMMITTED isolation level for long-running queries on OLTP clusters can help address issues with history list length. Before enabling this setting, be sure to understand how the isolation behavior on Aurora Replicas differs from the usual MySQL implementation of READ COMMITTED. For more information, see Aurora MySQL Isolation Levels.

November 25, 2019

Performance Insights supports analyzing statistics of running Aurora PostgreSQL queries

You can now analyze statistics of running queries with Performance Insights for Aurora PostgreSQL DB instances. For more information, see Analyzing Statistics of Running Queries.

November 25, 2019

More clusters in an Aurora global database

You can now add multiple secondary regions to an Aurora global database. You can take advantage of low latency global reads and disaster recovery across a wider geographic area. For more information about Aurora Global Database, see Working with Amazon Aurora Global Database.

November 25, 2019

Aurora machine learning support in Aurora MySQL

In Aurora MySQL 2.07 and higher, you can call Amazon Comprehend for sentiment analysis and Amazon SageMaker for a wide variety of machine learning algorithms. You use the results directly in your database application by embedding calls to stored functions in your queries. For more information, see Using Machine Learning (ML) Capabilities with Aurora.

November 25, 2019

Aurora MySQL version 2.07.0

Aurora MySQL version 2.07.0 is available.

November 25, 2019

Aurora MySQL version 1.22.0

Aurora MySQL version 1.22.0 is available.

November 25, 2019

Aurora MySQL version 1.21.0

Aurora MySQL version 1.21.0 is available.

November 25, 2019

Aurora Global Database no longer requires engine mode setting

You no longer need to specify --engine-mode=global when creating a cluster that is intended to be part of an Aurora global database. All Aurora clusters that meet the compatibility requirements are eligible to be part of a global database. For example, the cluster currently must use Aurora MySQL version 1 with MySQL 5.6 compatibility. For information about Aurora Global Database, see Working with Amazon Aurora Global Database.

November 25, 2019

Aurora Global Database is available for Aurora MySQL version 2

Starting in Aurora MySQL 2.07, you can create an Aurora Global Database with MySQL 5.7 compatibility. You don't need to specify the global engine mode for the primary or secondary clusters. You can add any new provisioned cluster with Aurora MySQL 2.07 or higher to an Aurora Global Database. For information about Aurora Global Database, see Working with Amazon Aurora Global Database.

November 25, 2019

Aurora MySQL version 2.06.0

Aurora MySQL version 2.06.0 is available.

November 22, 2019

Aurora MySQL version 2.04.8

Aurora MySQL version 2.04.8 is available.

November 20, 2019

Aurora MySQL hot row contention optimization available without lab mode

The hot row contention optimization is now generally available for Aurora MySQL and does not require the Aurora lab mode setting to be ON. This feature substantially improves throughput for workloads with many transactions contending for rows on the same page. The improvement involves changing the lock release algorithm used by Aurora MySQL.

November 19, 2019

Aurora MySQL hash joins available without lab mode

The hash join feature is now generally available for Aurora MySQL and does not require the Aurora lab mode setting to be ON. This feature can improve query performance when you need to join a large amount of data by using an equi-join. For more information about using this feature, see Working with Hash Joins in Aurora MySQL.

November 19, 2019

Aurora MySQL 2.* support for more db.r5 instance classes

Aurora MySQL clusters now support the instance types db.r5.8xlarge, db.r5.16xlarge, and db.r5.24xlarge. For more information about instance types for Aurora MySQL clusters, see Choosing the DB Instance Class.

November 19, 2019

Aurora MySQL 2.* support for backtracking

Aurora MySQL 2.* versions now offer a quick way to recover from user errors, such as dropping the wrong table or deleting the wrong row. Backtrack allows you to move your database to a prior point in time without needing to restore from a backup, and it completes within seconds, even for large databases. Read the AWS blog for an overview, and refer to Backtracking an Aurora DB Cluster. for more details.

November 19, 2019

Aurora MySQL version 2.04.7

Aurora MySQL version 2.04.7 is available.

November 14, 2019

Aurora MySQL version 2.05.0

Aurora MySQL version 2.05.0 is available.

November 11, 2019

Aurora MySQL version 1.20.0

Aurora MySQL version 1.20.0 is available.

November 11, 2019

Billing tag support for Aurora

You can now use tags to keep track of cost allocation for resources such as Aurora clusters, DB instances within Aurora clusters, I/O, backups, snapshots, and so on. You can see costs associated with each tag using AWS Cost Explorer. For more information about using tags with Aurora, see Tagging Amazon RDS Resources. For general information about tags and ways to use them for cost analysis, see Using Cost Allocation Tags and User-Defined Cost Allocation Tags

October 23, 2019

Data API for Aurora PostgreSQL

Aurora PostgreSQL now supports using the Data API with Amazon Aurora Serverless DB clusters. For more information, see Using the Data API for Aurora Serverless.

September 23, 2019

Aurora MySQL version 2.04.6

Aurora MySQL version 2.04.6 is available.

September 19, 2019

Aurora MySQL version 1.19.5

Aurora MySQL version 1.19.5 is available.

September 19, 2019

Aurora PostgreSQL supports uploading database logs to CloudWatch logs

You can configure your Aurora PostgreSQL DB cluster to publish log data to a log group in Amazon CloudWatch Logs. With CloudWatch Logs, you can perform real-time analysis of the log data, and use CloudWatch to create alarms and view metrics. You can use CloudWatch Logs to store your log records in highly durable storage. For more information, see Publishing Aurora PostgreSQL Logs to Amazon CloudWatch Logs.

August 9, 2019

Multi-master clusters for Aurora MySQL

You can set up Aurora MySQL multi-master clusters. In these clusters, each DB instance has read/write capability. For more information, see Working with Aurora Multi-Master Clusters.

August 8, 2019

Aurora PostgreSQL supports Aurora Serverless

You can now use Amazon Aurora Serverless with Aurora PostgreSQL. An Aurora Serverless DB cluster automatically starts up, shuts down, and scales up or down its compute capacity based on your application's needs. For more information, see Using Amazon Aurora Serverless.

July 9, 2019

Aurora MySQL version 2.04.5

Aurora MySQL version 2.04.5 is available.

July 8, 2019

Aurora PostgreSQL versions 2.3.3 and 1.5.2

Amazon Aurora with PostgreSQL compatibility version 2.3.3 is available and compatible with PostgreSQL 10.7. Amazon Aurora with PostgreSQL compatibility version 1.5.2 is available and compatible with PostgreSQL 9.6.12. For more information, see Database Engine Versions for Amazon Aurora PostgreSQL.

July 3, 2019

Cross-account cloning for Aurora MySQL

You can now clone the cluster volume for an Aurora MySQL DB cluster between AWS accounts. You authorize the sharing through AWS Resource Access Manager (AWS RAM). The cloned cluster volume uses a copy-on-write mechanism, which only requires additional storage for new or changed data. For more information about cloning for Aurora, see Cloning Databases in an Aurora DB Cluster.

July 2, 2019

Aurora PostgreSQL versions 2.3.1 and 1.5.1

Amazon Aurora with PostgreSQL compatibility version 2.3.1 is available and compatible with PostgreSQL 10.7. Amazon Aurora with PostgreSQL compatibility version 1.5.1 is available and compatible with PostgreSQL 9.6.12. For more information, see Database Engine Versions for Amazon Aurora PostgreSQL.

July 2, 2019

Aurora PostgreSQL supports db.t3 DB instance classes

You can now create Aurora PostgreSQL DB clusters that use the db.t3 DB instance classes. For more information, see DB Instance Class.

June 20, 2019

Support for importing data from Amazon S3 for Aurora PostgreSQL

You can now import data from an Amazon S3 file into a table in an Aurora PostgreSQL DB cluster. For more information, see Importing Amazon S3 Data into an Aurora PostgreSQL DB Cluster.

June 19, 2019

Aurora PostgreSQL now provides fast failover recovery with cluster cache management

Aurora PostgreSQL now provides cluster cache management to ensure fast recovery of the primary DB instance in the event of a failover. For more information, see Fast Recovery after Failover with Cluster Cache Management.

June 11, 2019

Aurora MySQL version 1.19.2

Aurora MySQL version 1.19.2 is available.

June 5, 2019

Data API for Aurora Serverless generally available

You can access Aurora Serverless clusters with web services–based applications using the Data API. For more information, see Using the Data API for Aurora Serverless.

May 30, 2019

Aurora PostgreSQL version 2.3

Version 2.3 of Amazon Aurora with PostgreSQL compatibility is available and compatible with PostgreSQL 10.7. For more information, see Version 2.3.

May 30, 2019

Aurora PostgreSQL supports database monitoring with database activity streams

Aurora PostgreSQL now includes database activity streams, which provide a near real-time data stream of the database activity in your relational database. For more information, see Using Database Activity Streams.

May 30, 2019

Aurora MySQL version 2.04.4

Aurora MySQL version 2.04.4 is available.

May 29, 2019

Amazon Aurora recommendations

Amazon Aurora now provides automated recommendations for Aurora resources. For more information, see Using Amazon Aurora Recommendations.

May 22, 2019

Aurora PostgreSQL versions 1.2.2, 1.3.2, 2.0.1, 2.1.1, 2.2.1

The following patch versions for Amazon Aurora with PostgreSQL compatibility are now available and include versions 1.2.2, 1.3.2, 2.0.1, 2.1.1, and 2.2.1. For more information, see Database Engine Versions for Amazon Aurora PostgreSQL.

May 21, 2019

Performance Insights support for Aurora Global Database

You can now use Performance Insights with Aurora Global Database. For information about Performance Insights for Aurora, see Using Amazon RDS Performance Insights. For information about Aurora global databases, see Working with Aurora Global Database.

May 13, 2019

Aurora PostgreSQL version 1.4

Version 1.4 of Amazon Aurora with PostgreSQL compatibility is available and compatible with PostgreSQL 9.6.11. For more information, see Version 1.4.

May 9, 2019

Aurora MySQL version 2.04.3

Aurora MySQL version 2.04.3 is available.

May 9, 2019

Aurora MySQL version 1.19.1

Aurora MySQL version 1.19.1 is available.

May 9, 2019

Performance Insights is available for Aurora MySQL 5.7

Amazon RDS Performance Insights is now available for Aurora MySQL 2.x versions, which are compatible with MySQL 5.7. For more information, see Using Amazon RDS Performance Insights.

May 3, 2019

Aurora MySQL version 2.04.2

Aurora MySQL version 2.04.2 is available.

May 2, 2019

Aurora global databases available in more AWS Regions

You can now create Aurora global databases in most AWS Regions where Aurora is available. For information about Aurora global databases, see Working with Amazon Aurora Global Databases.

April 30, 2019

Minimum Capacity of 1 for Aurora Serverless

The minimum capacity setting you can use for an Aurora Serverless cluster is 1. Formerly, the minimum was 2. For information about specifying Aurora Serverless capacity values, see Setting the Capacity of an Aurora Serverless DB Cluster.

April 29, 2019

Aurora Serverless timeout action

You can now specify the action to take when an Aurora Serverless capacity change times out. For more information, see Timeout Action for Capacity Changes.

April 29, 2019

Per-second billing

Amazon RDS is now billed in 1-second increments in all AWS Regions except AWS GovCloud (US) for on-demand instances. For more information, see DB Instance Billing for Aurora.

April 25, 2019

Sharing Aurora Serverless snapshots across AWS Regions

With Aurora Serverless, snapshots are always encrypted. If you encrypt the snapshot with your own AWS Key Management Service key, you can now copy or share the snapshot across AWS Regions. For information about snapshots of Aurora Serverless DB clusters, see Aurora Serverless and Snapshots.

April 17, 2019

Restore MySQL 5.7 backups from Amazon S3

You can now create a backup of your MySQL version 5.7 database, store it on Amazon S3, and then restore the backup file onto a new Aurora MySQL DB cluster. For more information, see Migrating Data from an External MySQL Database to an Aurora MySQL DB Cluster.

April 17, 2019

Sharing Aurora Serverless snapshots across regions

With Aurora Serverless, snapshots are always encrypted. If you encrypt the snapshot with your own KMS key, you can now copy or share the snapshot across regions. For information about snapshots of Aurora Serverless DB clusters, see Aurora Serverless and Snapshots.

April 16, 2019

Aurora proof-of-concept tutorial

You can learn how to perform a proof of concept to try your application and workload with Aurora. For the full tutorial, see Performing an Aurora Proof of Concept.

April 16, 2019

Aurora Serverless supports restoring from an Amazon S3 backup

You can now import backups from Amazon S3 to an Aurora Serverless cluster. For details about that procedure, see Migrating Data from MySQL by Using an Amazon S3 Bucket.

April 16, 2019

New modifiable parameters for Aurora Serverless

You can now modify the following DB parameters for an Aurora Serverless cluster: innodb_file_format, innodb_file_per_table, innodb_large_prefix, innodb_lock_wait_timeout, innodb_monitor_disable, innodb_monitor_enable, innodb_monitor_reset, innodb_monitor_reset_all, innodb_print_all_deadlocks, log_warnings, net_read_timeout, net_retry_count, net_write_timeout, sql_mode, and tx_isolation. For more information about configuration parameters for Aurora Serverless clusters, see Aurora Serverless and Parameter Groups.

April 4, 2019

Aurora PostgreSQL supports db.r5 DB instance classes

You can now create Aurora PostgreSQL DB clusters that use the db.r5 DB instance classes. For more information, see DB Instance Class.

April 4, 2019

Aurora PostgreSQL logical replication

You can now use PostgreSQL logical replication to replicate parts of a database for an Aurora PostgreSQL DB cluster. For more information, see Using PostgreSQL Logical Replication.

March 28, 2019

GTID support for Aurora MySQL 2.04

You can now use replication with the global transaction ID (GTID) feature of MySQL 5.7. This feature simplifies performing binary log (binlog) replication between Aurora MySQL and an external MySQL 5.7-compatible database. The replication can use the Aurora MySQL cluster as the source or the destination. This feature is available for Aurora MySQL 2.04 and higher. For more information about GTID-based replication and Aurora MySQL, see Using GTID-Based Replication for Aurora MySQL.

March 25, 2019

Aurora MySQL version 2.04.1

Aurora MySQL version 2.04.1 is available.

March 25, 2019

Aurora MySQL version 2.04

Aurora MySQL version 2.04 is available.

March 25, 2019

Uploading Aurora Serverless logs to Amazon CloudWatch

You can now have Aurora upload database logs to CloudWatch for an Aurora Serverless cluster. For more information, see Viewing Aurora Serverless DB Clusters. As part of this enhancement, you can now define values for instance-level parameters in a DB cluster parameter group, and those values apply to all DB instances in the cluster unless you override them in the DB parameter group. For more information, see Working with DB Parameter Groups and DB Cluster Parameter Groups.

February 25, 2019

Aurora MySQL supports db.t3 DB instance classes

You can now create Aurora MySQL DB clusters that use the db.t3 DB instance classes. For more information, see DB Instance Class.

February 25, 2019

Aurora MySQL supports db.r5 DB instance classes

You can now create Aurora MySQL DB clusters that use the db.r5 DB instance classes. For more information, see DB Instance Class.

February 25, 2019

Performance Insights counters for Aurora MySQL

You can now add performance counters to your Performance Insights charts for Aurora MySQL DB instances. For more information, see Performance Insights Dashboard Components.

February 19, 2019

Aurora PostgreSQL version 2.2.0

Version 2.2.0 of Aurora PostgreSQL is available and compatible with PostgreSQL 10.6. For more information, see Version 2.2.0.

February 13, 2019

Aurora MySQL version 2.03.4

Aurora MySQL version 2.03.4 is available.

February 7, 2019

Aurora MySQL version 1.19.0

Aurora MySQL version 1.19.0 is available.

February 7, 2019

Amazon RDS Performance Insights supports viewing more SQL text for Aurora MySQL

Amazon RDS Performance Insights now supports viewing more SQL text in the Performance Insights dashboard for Aurora MySQL DB instances. For more information, see Viewing More SQL Text in the Performance Insights Dashboard.

February 6, 2019

Amazon RDS Performance Insights supports viewing more SQL text for Aurora PostgreSQL

Amazon RDS Performance Insights now supports viewing more SQL text in the Performance Insights dashboard for Aurora PostgreSQL DB instances. For more information, see Viewing More SQL Text in the Performance Insights Dashboard.

January 24, 2019

Aurora MySQL version 2.03.3

Aurora MySQL version 2.03.3 is available.

January 18, 2019

Aurora MySQL version 1.17.8

Aurora MySQL version 1.17.8 is available.

January 17, 2019

Aurora MySQL version 2.03.2

Aurora MySQL version 2.03.2 is available.

January 9, 2019

Aurora backup billing

You can use the Amazon CloudWatch metrics TotalBackupStorageBilled, SnapshotStorageUsed, and BackupRetentionPeriodStorageUsed to monitor the space usage of your Aurora backups. For more information about how to use CloudWatch metrics, see Overview of Monitoring. For more information about how to manage storage for backup data, see Understanding Aurora Backup Storage Usage.

January 3, 2019

Performance Insights counters

You can now add performance counters to your Performance Insights charts. For more information, see Performance Insights Dashboard Components.

December 6, 2018

Aurora Global Database

You can now create Aurora global databases. An Aurora global database spans multiple AWS Regions, enabling low latency global reads and disaster recovery from region-wide outages. For more information, see Working with Amazon Aurora Global Database.

November 28, 2018

Query plan management in Aurora PostgreSQL

Aurora PostgreSQL now provides query plan management that you can use to manage PostgreSQL query execution plans. For more information, see Managing Query Execution Plans for Aurora PostgreSQL.

November 20, 2018

Query editor for Aurora Serverless (beta)

You can run SQL statements in the Amazon RDS console on Aurora Serverless clusters. For more information, see Using the Query Editor for Aurora Serverless.

November 20, 2018

Data API for Aurora Serverless (beta)

You can access Aurora Serverless clusters with web services–based applications using the Data API. For more information, see Using the Data API for Aurora Serverless.

November 20, 2018

Aurora PostgreSQL version 2.1

Aurora PostgreSQL version 2.1 is available and compatible with PostgreSQL 10.5. For more information, see Version 2.1.

November 20, 2018

TLS support for Aurora Serverless

Aurora Serverless clusters support TLS/SSL encryption. For more information, see TLS/SSL for Aurora Serverless.

November 19, 2018

Custom endpoints

You can now create endpoints that are associated with an arbitrary set of DB instances. This feature helps with load balancing and high availability for Aurora clusters where some DB instances have different capacity or configuration than others. You can use custom endpoints instead of connecting to a specific DB instance through its instance endpoint. For more information, see Amazon Aurora Connection Management.

November 12, 2018

IAM authentication support in Aurora PostgreSQL

Aurora PostgreSQL now supports IAM authentication. For more information see IAM Database Authentication.

November 8, 2018

Aurora MySQL version 2.03.1

Aurora MySQL version 2.03.1 is available.

October 24, 2018

Custom parameter groups for restore and point in time recovery

You can now specify a custom parameter group when you restore a snapshot or perform a point in time recovery operation. For more information, see Restoring from a DB Cluster Snapshot and Restoring a DB Cluster to a Specified Time.

October 15, 2018

Aurora MySQL version 2.03

Aurora MySQL version 2.03 is available.

October 11, 2018

Aurora MySQL version 2.02.5

Aurora MySQL version 2.02.5 is available.

October 8, 2018

Aurora MySQL version 1.17.7

Aurora MySQL version 1.17.7 is available.

October 8, 2018

Deletion protection for Aurora DB clusters

When you enable deletion protection for a DB cluster, the database cannot be deleted by any user. For more information, see Deleting a DB Instance in a DB Cluster.

September 26, 2018

Aurora PostgreSQL version 2.0

Aurora PostgreSQL version 2.0 is available and compatible with PostgreSQL 10.4. For more information, see Version 2.0.

September 25, 2018

Stop/Start feature Aurora

You can now stop or start an entire Aurora cluster with a single operation. For more information, see Stopping and Starting an Aurora Cluster.

September 24, 2018

Aurora MySQL version 2.02.4

Aurora MySQL version 2.02.4 is available.

September 21, 2018

Parallel Query feature for Aurora MySQL

Aurora MySQL now offers an option to parallelize I/O work for queries across the Aurora storage infrastructure. This feature speeds up data-intensive analytic queries, which are often the most time-consuming operations in a workload. For more information, see Working with Parallel Query for Aurora MySQL.

September 20, 2018

Aurora MySQL version 1.18.0

Aurora MySQL version 1.18.0 is available.

September 20, 2018

Aurora PostgreSQL version 1.3

Aurora PostgreSQL version 1.3 is now available and is compatible with PostgreSQL 9.6.9. For more information, see Version 1.3.

September 11, 2018

Aurora MySQL version 1.17.6

Aurora MySQL version 1.17.6 is available.

September 6, 2018

New guide

This is the first release of the Amazon Aurora User Guide.

August 31, 2018