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 the Holistics platform, data analysts can build custom, interactive dashboards, queries and visualizations and share them with Slack or email. Holistics is an all-in-one data processing platform that connects your existing data sources to automated reports, data tables and ETL. Other powerful features include drop-and-drag data modeling, real-time metrics and visualizations, ad hoc queries and query templates, and a SQL editor. By adding the Panoply integration to Holistics, your data analytics and transmission are fast, relevant and efficient. Panoply automatically sorts, simplifies, stores and manages your big data, saving you valuable processing and prep time. Its automated ETL pipeline continuously streams your most current data to the client side. With Panoply, your sensitive data is always secure in the only ETL that integrates a cloud service with a data warehouse.