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 Redash, you can write queries and display the results on sharable dashboards and visualizations. In its built-in SQL editor, you can create reusable code snippets and schedule alerts and data refreshes. This BI tool designed for developers has an easy clickable or drop-and-drag user interface. Redash was created by the open source community and now has both paid and open source options. It currently connects to 8 integrations and over 50 databases. Support your Redash data work with the power of an enterprise-level ETL by adding the Panoply integration. The Panoply AI-driven pipeline is the only fully integrated cloud service that combines an automated ETL with a data warehouse. It securely and quickly processes data from any source. And Panoply refreshes your output with the latest cleaned data continuously, not just at scheduled times.