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.
Pentaho is a paid BI tool that performs internet of Things (IoT) analytics. It integrates machine and sensor data combined with other big data to produce insightful business analytics. With Pentaho, nonprogrammers can do their own data integration and get fast, real-time analysis.
Panoply is designed to manage and store exponentially large and diverse data sources like those used in IoT data operations. The continuously streaming Panoply pipeline automates your entire ETL process. It automatically sorts, simplifies and combines all types of data for you. So with less work on the server side, you get optimized results on the client side.