AWS Database Blog
Category: AWS Database Migration Service
A quick introduction to migrating from an Oracle database to an Amazon Aurora PostgreSQL database
In this post, we build an AWS CloudFormation stack to deploy resources to help demonstrate the process of migrating from an Oracle database to an Amazon Aurora PostgreSQL database. Because this is a heterogeneous migration, we follow a two-phase approach similar to what is detailed in How to Migrate Your Oracle Database to PostgreSQL. The […]
Schema Conversion Tool blog series: Introducing new features in build 613
The AWS Schema Conversion Tool (AWS SCT) helps convert your existing database schema from one database engine to another. You can convert from a relational OLTP schema or any supported data warehouse OLAP schema to Amazon RDS (for example, Amazon Aurora MySQL or Amazon Aurora PostgreSQL, among others). You can also convert from a relational […]
How to Migrate from Oracle ASM to AWS using AWS DMS
The Oracle Automatic Storage Management (ASM) database framework provides a volume manager and a file system for Oracle database files. It supports single-instance Oracle Database and Oracle Real Application Clusters (Oracle RAC) configurations. ASM has tools to manage file systems and volumes directly inside a database. These tools enable database administrators (DBAs) to control volumes […]
How the AWS Schema Conversion Tool Drove Trimble’s Database Migration Successes
By Todd Hofert, Director of Infrastructure Operations—FSM at Trimble Inc. The situation Recently, the Infrastructure Operations Group for Trimble’s Field Service Management division embarked on an aggressive initiative to migrate their privately hosted SaaS offerings to Amazon Web Services (AWS). The division faced the need for a hardware refresh, continuing cost reduction pressures, and a […]
Introducing log management in AWS Database Migration Service
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 database […]
Introducing Ongoing Replication from Amazon RDS for SQL Server Using AWS Database Migration Service
We are excited to announce a new feature in AWS Database Migration Service (AWS DMS) and Amazon RDS for SQL Server that supports ongoing replication from Amazon RDS for SQL Server sources. AWS DMS helps you migrate databases to AWS quickly and more securely. It also helps you migrate data within AWS. You can migrate […]
Challenges When Migrating from Oracle to PostgreSQL—and How to Overcome Them
David Rader is the vice president of engineering at OpenSCG. OpenSCG is an AWS Consulting Partner and a leading expert in PostgreSQL, helping customers migrate to, operate, and optimize PostgreSQL and other data platforms on premises and in the cloud. In previous posts, we looked at the overall approach for a successful database migration and […]
How to Migrate from MySQL to Amazon Aurora using AWS SCT and AWS DMS
MySQL is a great open-source database engine, which a lot of companies use because it’s cost-effective. However, like any other open-source database, it takes a lot of work to get commercial-grade performance out of it. As the size of your database increases, the complexity of scaling and crash recovery in MySQL also increases. Scaling out […]
Migrate Microsoft Azure SQL Database to Amazon Aurora
Increasingly, customers are looking to move databases from proprietary engines such as Oracle and Microsoft SQL Server to open source engines running on AWS. One of the preferred destinations for this data is Amazon Aurora. In this post, we walk through a migration of a Microsoft Azure SQL database to an Amazon Aurora MySQL cluster […]
AWS Database Migration Service and Amazon DynamoDB: What You Need to Know
This post describes the performance aspects of migrating data to Amazon DynamoDB using AWS DMS, minimizing downtime, and converting the data that is more suitable for DynamoDB using either map to record or map to document types.