The ETL Tool of the Amazon Web Service

Amazon Web Services (AWS), a cloud computing platform from Amazon provides several cutting-edge services such as infrastructure as a service, platform as a service, packaged software as a service, and others. AWS also offers a wide range of tools that helps organizations avail of specialized facilities such as unlimited database storage, high computing power, and robust content delivery services. AWS can be segmented into different computing and storage silos and each can be configured to match user needs.

A very popular service of AWS is database migration. This can be carried out between data warehouses, relational databases, and NoSQL databases either from on-premises servers to the cloud or from one cloud provider to another. The most optimized and preferred tool for carrying out this activity is ETL AWS.


ETL, short for Extract, Transform, Load is a tool that helps combine multiple databases used for storing data into a centralized database or a data warehouse. The three processes of this cutting-edge tool are as follows - extracting data from a source, transforming the data into a specific format, and loading the processed data into the target repository.

Benefits of ETL AWS.

  • Since the ETL AWS tool is fully automated, there is no possibility of data loss during migration as the whole process is done without human intervention at any stage. There is also the angle of cost efficiencies too.
  • With ETL AWS, there is no need to make any changes to the source database or install and configure additional drivers and applications to migrate databases as the activity is started directly from the AWS Management Console. All changes at the source database are replicated to the target database through the Change Data Capture feature.
  • The source database remains fully functional at all times during ETL AWS migration and hence businesses do not have to resort to downtime. This feature is critical for large organizations as it will be very inconvenient to shut down systems for any period. 
  • All changes are updated continually between the source and target databases provided both are in sync.
  • AWS supports almost all common databases currently used by businesses and hence the ETL AWS tool supports all types of database migration. These include Homogeneous migration where the engines of the source and the target databases are similar or Heterogeneous migration where they are different.
  • Migration can be done with ETL AWS between on-premises databases to Amazon RDS or Amazon EC2, Aurora, and databases running on EC2 to RDS or vice versa. This also holds for data migration between SQL, text-based data, and NoSQL with DMS AWS.

Developers and data engineers working with ETL can create, operate, and track workflows with the AWS Glue Studio that can also be used to visually enrich, clean, and normalize data without writing the code.

With ETL AWS, get all the benefits of operating in the cloud.


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