Category: AWS Database Migration Service

Accelario is database migration software that provides a fast and easy way to load an Oracle database to Amazon Web Services (AWS). At the end of the initial load, database synchronization starts immediately using AWS Database Migration Service (AWS DMS), and the result is a zero downtime migration of your database.

Businesses that require 24/7 operation face a significant issue when moving databases into the cloud: Up until now, few if any cost-effective options existed to minimize the resulting downtime. With its recent integration with AWS DMS, Accelario provides a ready-to-use, zero downtime, full database migration solution—meaning that the whole database is migrated, including users, procedures, views, etc. When the process is done, you can access your database and start using it with your application immediately.

August 30, 2023: Amazon Kinesis Data Analytics has been renamed to Amazon Managed Service for Apache Flink. Read the announcement in the AWS News Blog and learn more. In this post, we discuss how you can use AWS Database Migration Service (AWS DMS) to stream change data into Amazon Kinesis Data Streams. An earlier post, […]

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 […]

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 […]

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 […]

AWS Database Migration Service (AWS DMS) today launches native CDC support and the ability to start and stop the AWS DMS replication from a specific checkpoint. When you work with this feature, you can use checkpoints such as a log sequence number (LSN) in Microsoft SQL Server, a system change number (SCN) in Oracle, and […]

March 2023: This post was reviewed and updated with architecture diagrams and console screenshots. You can use AWS Database Migration Service (AWS DMS) to migrate data from various sources to most widely used commercial and open-source databases. AWS DMS also supports Amazon S3 as a source and as a target for migrations. When you use Amazon S3 […]

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 […]