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.
KNIME is an open source platform that analyzes and integrates data and designs apps, services and reusable components. Machine learning, AI and predictive modeling are some of the advanced features of this powerful BI tool. With over 2000 modules, you can build your own end-to-end workflow or use one of hundreds of sample workflows to get started fast. Make your KNIME analytics work even faster by adding Panoply with one click. The Panoply KNIME integrator automates all the ETL work for you. It uploads data from any source in minutes, stores it in one place, and then simplifies and sorts the data. The all-in-one Panoply data stack seamlessly updates KNIME output in real time when your source data changes. So your KNIME analysis results are always clean, relevant and up to date.