Category: AWS Database Migration Service

The AWS Schema Conversion Tool (AWS SCT) makes heterogeneous database migrations more predictable by automatically converting the source database schema and most of the database code objects to a format compatible with the target database. To help with migration of on-premises data warehouses to Amazon Redshift, the new version of AWS SCT adds the following important […]

Let’s start with a quick recap from our previous posts, Debugging Your AWS DMS Migrations: What to Do When Things Go Wrong, Part 1 and Part 2. There, we cover the initial steps to take to debug your AWS Database Migration Service (DMS) migrations for environmental issues and to use Amazon CloudWatch metrics to identify […]

July 2023: This post was reviewed for accuracy. Recently, AWS Database Migration Services (AWS DMS) added support for using Amazon S3 as a source for your database migration. This new support means that you can now load data in comma-separated value (CSV) format from S3 into any supported target, whether or not the target has […]

AWS Database Migration Service (AWS DMS) helps you migrate databases to AWS quickly and securely. You can migrate your data to and from most widely used commercial and open source databases, such as Oracle, Microsoft SQL Server, and PostgreSQL. The service supports homogeneous migrations such as Oracle to Oracle, and also heterogeneous migrations between different […]

We are excited to announce a new feature that provides a pre-migration checklist in AWS Database Migration Service (AWS DMS). AWS DMS does a great job of helping you move your data between multiple supported sources and targets. However, migrations can be difficult, especially when you’re moving from one database engine to another (known as […]

We always treat database migration projects as a development exercise. Each project should have proper planning (that is, design), execution, and of course testing. Each step involves developer collaboration. Developers also just like to collaborate on tools, methodologies, and a nice piece of code. We want to facilitate developer collaboration for migration projects, to bring more tools and methods to the community to allow better, smoother, and faster migrations. As part of this effort, we recently launched two GitHub repositories, for AWS DMS samples and AWS DMS tools.

In our previous post, we covered the initial steps to debug AWS Database Migration Service (DMS) migrations for environmental issues. In this post, we continue the debugging process, discussing problems with migration tasks that aren’t in the list preceding and that aren’t due to environmental issues. We review CloudWatch graphs and task and table states to shed light on DMS migrations.

This blog post gives you a quick overview of how you can schedule migration tasks for the purpose of automating your migration. You create these tasks by using the AWS Database Migration Service (AWS DMS) and using native operating system tools for either Linux or Microsoft Windows.

We are excited to announce the addition of two new database connectors in AWS Database Migration Service (AWS DMS)—Amazon S3 as a source and Microsoft Azure SQL Database as a source. You can now migrate data from these two new sources to all AWS DMS supported targets. Amazon S3 as a source You can now […]

Amazon RDS for SQL Server is a managed Microsoft SQL Server database service that makes it easy to set up, operate, and scale SQL Server deployments in the cloud. Amazon RDS takes away the time-consuming database administration activities so that you can focus on your schema design, query construction, query optimization, and building your application. […]