ETL your data into Amazon Redshift in minutes

Amazon Redshift is a fully managed, petabyte-scale, cloud-based data warehouse service. Redshift is straight to query with SQL, efficient for analytical queries, and is a simple add-on for any organization operating its tech stack on AWS.

Etlworks is a powerful, easy to use ETL service built for the cloud that connects to all your data sources and replicates the data to your warehouse. It works with databases such as MySQL, PostgreSQL, SQL Server, Oracle, DB2, and MongoDB, cloud storage systems, business applications, and APIs.

Etlworks can help you integrate your data sources with Amazon Redshift and automate updates with no additional effort. Our software supports real-time change data capture (CDC), incremental updates using micro batches and other data migration methods.

You can use Etlworks ETL for Amazon Redshift to:

Improve efficiency

You can build complex transformations using our simple drag-and-drop interface. There is no need to learn a new language and there aren’t any complicated build-test-deploy processes.

Load data from anywhere

If your organization utilizes heterogeneous data sources, web services, semi-structured data, unstructured data, or transformations that go beyond simple point-to-point, pre-baked integrations, then Eltworks is the best way to streamline your data workflow.


ELT (extract-load-transform) allows raw data to be loaded into a target and transformed there. Etlworks supports executing complex ELT scripts directly in Redshift, which greatly improves both the performance and reliability of data ingestion.

Load only new and updated data

If you need your tool to support incremental replication from relational databases and web services, Etlworks can handle this quickly and without any required programming.

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