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 Count, users get the power of notebook-centric BI and the flexibility of drag-and-drop query creation designed. This innovative BI platform enables users to build and share “data stories” that combine text, charts, and other content to create rich interactive reports that make both data and insights easy to understand. Count’s notebook interface is designed not only for report building, but also for cleaning data, building internal apps, and producing data dictionaries and other reference materials. Plus, Count is fully GDPR compliant and doesn’t store your data on its servers so your data is secure and you can get started in minutes.