Category: AWS Database Migration Service

An Oracle to PostgreSQL migration in the AWS Cloud can be a complex multistage process with different technologies and skills involved, starting from the assessment stage to the cutover stage. This blog post is the third in a series that discusses high-level aspects about the components to consider for a database migration. The series doesn’t […]

An Oracle to PostgreSQL migration in AWS Cloud can be a complex multistage process with different technologies and skills involved, starting from the assessment stage to the cutover stage. To better understand details of the complexities involved, see the AWS Database Blog post Database Migration—What Do You Need to Know Before You Start? This blog […]

An Oracle to PostgreSQL migration in the AWS Cloud can be a complex multistage process with different technologies and skills involved, starting from the assessment stage to the cutover stage. This blog series covers the environment and configuration setups for your source Oracle database, the AWS Database Migration (AWS DMS) service, and the target PostgreSQL […]

Customers tell us that migrating data between different database engines—also known as a heterogeneous migration—can be challenging and time consuming. Some customers such as Samsung had to figure out on their own how to migrate their Apache Cassandra databases to Amazon DynamoDB (see Moving a Galaxy into the Cloud: Best Practices from Samsung on Migrating […]

We’re excited to introduce AWS Database Migration Service (AWS DMS) version 2.4.3, which includes support for migrating data to native partitioned tables in PostgreSQL 10. In this post, we discuss how you can use AWS DMS version 2.4.3 to migrate data from Oracle partitioned tables to PostgreSQL 10 natively partitioned tables. You can do so […]

In this blog post, I’ll cover how to use an AWS CloudFormation template to automate the configuration that allows you to replicate data between a relational database like Amazon Aurora to Amazon Simple Storage Service (Amazon S3). I’ll walk you through a sample CloudFormation template so that you can customize for your needs. The AWS […]

We are excited to introduce a new version of the AWS Schema Conversion Tool (AWS SCT). This version includes support for table-valued function conversions, additional information in server-level assessment reports, and more. For those of you who are new to AWS SCT, this tool helps convert your existing database schema from one database engine to […]

UPDATE, March 2019: Since this blog post was published, DMS has launched a new capability to set Kinesis as a target. For the most updated guidance, please visit Use the AWS Database Migration Service to Stream Change Data to Amazon Kinesis Data Streams. ———————————— Many large enterprises are moving their data processing from batch to […]

We are excited to introduce a new version of AWS Schema Conversion Tool (AWS SCT) that includes support for PostgreSQL 10 partitioning, a new server-level Assessment Report, support for table-valued functions, and more. For those of you who are new to AWS SCT, this tool helps convert your existing database schema from one database engine […]

Many enterprises are considering migrating their Oracle databases to PostgreSQL because of the close compatibility between the platforms and the enterprises’ desire to reduce licensing costs. Amazon RDS for PostgreSQL and Amazon Aurora with PostgreSQL compatibility make it easy to set up, operate, and scale PostgreSQL deployments in the cloud in a cost-efficient manner. AWS […]