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.
With the Shiny (R) open source BI tool from RStudio, users can create their own interactive websites and dashboards. Host your Shiny web applications on your own server or on RStudio’s hosting service. With Shiny, anyone who knows R can design their own web apps without having to learn programming or web development.
The Shiny R package is user friendly, but you still need to do ETL (extract, transfer and load) work to process your data. Adding Panoply takes care of all the ETL for you. Panoply manages that entire process automatically. It seamlessly delivers your latest sorted and cleaned data to your Shiny web apps.