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SwiftETL enables organizations to extract, transform and load (ETL) data from across many different sources to create consistent, accurate information. It has more than 4000 installations across globe. Simple GUI makes it easy to build logical workflows, quickly identify input and output data flows, and create business rules in metadata.
SwiftETL also supports the ELT approach of extracting data, loading it into a target database and using database capabilities to transform the data directly within the database (ELT). You simply define whether a process runs in-database or within SwiftETL.
In addition, SwiftETL provides organizations with the flexibility to go beyond the prepackaged transformations to build unique routines without fear of losing vendor support for custom work.
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