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.
Qlik is a BI platform that provides end-to-end data management and real-time AI analytics. The company recently expanded its services to enterprise level data integration by acquiring Attunity. Qlik’s features include embedded analytics and developer and data integration platforms. With Qlik, you can combine all your data, create custom apps, and share your business insights with your teams on any device. Well-known companies like Benjamin Moore and Conde Nast use this Gartner-recommended BI tool. You can add even more ETL power to Qlik with the Panoply integration. Panoply’s AI-driven pipeline does prep work automatically, manages the entire ETL process, and continuously streams your latest processed data to your analytics output. Panoply is the only fully integrated cloud service that combines an automated ETL with a data warehouse.