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.
CARTO collects and analyzes location data to solve spatial problems and provide business outcomes. It uploads your spatial data, enriches it, and performs geospatial analysis. This BI tool provides geodata analytics, workflow integration, and million-point visualizations. Data scientists can use CARTO to simplify location data prep and collection. It interacts with your preexisting libraries and functions, or you can use its out-of-the-box spatial analysis models. CARTO’s development tools include its own visualization libraries, app development, scalability, data APIs, geocoding, and more. CARTO can run even faster and more powerfully with the Panoply integration. The automated Panoply pipeline continuously streams the entire ETL flow from input to processing to output and storage. Panoply offers the security, power, and speed of the only fully integrated cloud service that combines an automated ETL with a data warehouse.