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.
Apache Superset is an open-source data analytics platform. This BI tool features a user-friendly UI that builds interactive visualizations and shareable dashboards. With Superset, you can control permissions and also define what data can be displayed and what analytics functions can be accessed. It’s integrated with Druid.io, so you can get fast, complex analytics from event-driven data streams.
Superset connects to most SQL-based database management systems and 23 major data sources including MySQL, Google BigQuery, and Apache Hive. However, you can automatically connect all your data sources and types to Superset with the Panoply integration. With one click, the enterprise-level Panoply data management platform continuously extracts, simplifies, and stores all your data in one place. This AI-driven data pipeline is the only fully integrated cloud service that combines an automated ETL with a data warehouse.