Singer is an open source tool that helps bring order to the messy world of custom ETL scripts. Singer allows users to mix and match inputs and outputs, making their ETL processes much more modular–and therefore easier to run and maintain. Singer uses JSON to move all data between sources and destinations, so you won’t have to worry about incompatible formats once you’ve set your ETL tasks up to run. Panoply’s integration with Singer makes it easy to move data from anywhere with a supported tap–Singer’s term for a data collection script–into an automated cloud warehouse. And since Singer is open source and supported by a broad community of developers, if you can’t find the tap you need, you can just write your own, without having to worry about building loading functions for Panoply.
Klipfolio is an easy-to-use interactive BI tool with a drag-and-drop UI and preset visualizations. You can expand its data integration capabilities with custom HTML script, built-in applied actions and formulas. Use a prebuilt dashboard or else build, share and display your own on a TV screen if you want to. Klipfolio’s ease of use is one of its strongest selling points, but it still needs ETL (extract, transform and load) to produce data-based output. With one click, Panoply Klipfolio integration automatically takes the entire ETL process off your hands.