Amazon Redshift is a fully managed, petabyte-scale, data warehouse service in the cloud. Redshift is straightforward to query with SQL, efficient for analytical queries, and can be simple add-on for any organization operating its tech stack on AWS.
Etlworks is a simple, powerful, ETL service built for the cloud. Etlworks connects to your first-party data sources – from databases like MongoDB and MySQL, to cloud storages and APIs – and replicates that data to your warehouse.
Etlworks supports not just one-time data loading operation. It can help you to integrate your data sources with Amazon Redshift and automate updating your Amazon Redshift with fresh data with no additional effort or involvement!
In Etlworks you can build even the most complicated data integration flows and transformations using simple drag&drop interface. No need to learn a new language and no complicated build-test-deploy process.
If you are dealing with heterogeneous data sources, web services, semi-structured or unstructured data, or transformations which go beyond the simple point-to-point, pre-baked integrations – you are probably limited to just a few tools. Etlworks is one of them.
ELT allows raw data to be loaded into the target and transformed there. Etlworks supports executing complex ELT scripts directly in Redshift which greatly improves performance and reliability of the data injection.
Last but not least, if you need your tool to support a native change (incremental) replication from relational databases and web services, Etlworks can handle this as well. No programming required. And it is fast.