Category: Amazon Aurora

In this post, we demonstrate how you can use AWS CloudFormation, open-source Apache JMeter, and Python to generate a performance testing framework for Amazon Aurora PostgreSQL-Compatible Edition databases. This performance testing model can help you run multiple iterations of load testing on Aurora PostgreSQL and make data-driven decisions regarding the database version, configuration, and instance […]

AWS recently added Google Cloud for MySQL as a source to AWS Data Migration Service (AWS DMS) for MySQL 8.0 and newer. In this post, we demonstrate how you can migrate from Google Cloud for MySQL to Amazon Aurora MySQL-Compatible Edition in an automated way and minimize downtime using AWS DMS. As of this writing, […]

Migrating from Oracle to Amazon Aurora PostgreSQL-Compatible Edition or Amazon Relational Database Service (Amazon RDS) for PostgreSQL may be challenging if the application is using the DBMS_XMLDOM package to access XML type objects. This is because the DBMS_XMLDOM package isn’t supported in Aurora PostgreSQL or Amazon RDS for PostgreSQL. Moreover, converting procedures to Aurora PostgreSQL […]

PostgreSQL has become the preferred open-source relational database for many enterprise developers and startups, and powers leading business and mobile applications. AWS provides two managed PostgreSQL options: Amazon Relational Database Service (Amazon RDS) for PostgreSQL and Amazon Aurora PostgreSQL-Compatible Edition. Database statistics play a key role in improving the performance of the database. The query […]

Organizations are looking to migrate on-premises Oracle database workloads to Amazon Relational Database Service (Amazon RDS) for PostgreSQL or Amazon Aurora PostgreSQL-Compatible Edition. Most heterogeneous database migrations present unique challenges. One among them is converting Oracle schemas with partitioned (and sub-partitioned) tables to PostgreSQL-compatible partitioned tables. PostgreSQL declarative partitioning is a flexible way to manage […]

Database object validation plays a key role in the database migration process. It’s the process of determining whether all the source database objects have been successfully migrated to the target database by comparing their types and counts. If you skip the validation phase, you may encounter runtime errors due to missing database objects, which can […]

Many companies need to maintain an audit trail to track updates to their data. For compliance and other reasons, they’re required to preserve a history of all updates and deletes made to any given record in any given database table. For example, a foreign exchange transaction between two global banks includes a set of payment […]

PostgreSQL is a powerful open-source object-relational database system with over 30 years of active development that has earned it a strong reputation for reliability, feature robustness, and performance. AWS offers Amazon Relational Database Service (Amazon RDS) and Amazon Aurora as fully managed relational database services. Amazon RDS for PostgreSQL and Amazon Aurora PostgreSQL-compatible edition makes […]

Novemeber 2022: This post was updated with changes introduced with the launch of Amazon Aurora MySQL-Compatible Edition versions 2 and 3, and in-place upgrade from version 2 to 3. Amazon Aurora MySQL-Compatible Edition version 1 (with MySQL 5.6 compatibility) is planned to reach end of life on February 28, 2023, and it’s recommended to upgrade to […]

Amazon Aurora is a relational database management system (RDBMS) built for the cloud with full MySQL and PostgreSQL compatibility. Aurora is designed to take advantage of the cloud in areas of scalability, availability, and durability, as well as combine the speed and reliability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases. […]