Category: Migration & Transfer Services

Expanding on the earlier post, Create AWS CloudFormation templates for AWS DMS tasks using Microsoft Excel, this post highlights an enhanced feature of the same tool that can speed database migration. To demonstrate this feature, we present a small command line tool written in Python. The tool takes a CSV file containing the names of […]

AWS now supports new data transformation capabilities in the latest AWS Database Migration Service (AWS DMS) version 3.1.3. You can change schema, table, and column names; specify individual tablespace names for Oracle targets; and update a table’s primary and unique key on any target. DMS version 3.1.3 supports the following new data transformation capabilities: Explicit table […]

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. A common pattern for web application architecture includes a database for application data coupled with a search engine for searching that data. Many relational and even nonrelational databases offer rudimentary search capabilities. However, search engines add true, complex, natural-language search […]

This blog post was last reviewed and updated March, 2022. We’re happy to introduce AWS DMS replication engine version 3.1.2. The new version includes a better UX and performance improvements that were requested by many customers. We listened and delivered on our promise to make DMS better. In this blog post, I’ll cover few key […]

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. We’re excited to announce the addition of a new target in AWS Database Migration Service (AWS DMS)—Amazon Elasticsearch Service. You can now migrate data to Amazon Elasticsearch Service from all AWS DMS–supported sources. With support for this new target, you […]

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 […]