Extract-transform-load all your data to a Redshift data warehouse.
Built with Amazon Redshift in mind, DataDuck ETL can extract from multiple data sources, then transform and load the data into your data warehouse.
Managing an ETL is best done through code, since you can customize it for your specific use case, track changes in version control, conduct code reviews, and integrate it with your monitoring and exception tracking systems.
DataDuck ETL is simple to set up and manage. It can be set up in under a minute with the "dataduck quickstart" command. That's much easier than setting up Hadoop or Cascading!