Analyze your Singer Data in SQL
Sync, store, and access all your business data with Panoply
Easily integrate data from over 80+ sources so it’s always ready for action.Panoply in 30 seconds
See how easy it is to connect your data using Panoply. In just a few minutes, you can set up a data warehouse and start syncing your Singer data.
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Fuel your analytics
Panoply automatically organizes data from Singer and 30+ native data sources into query-ready tables and connects to popular BI tools like SQL as well as analytical notebooks. From executives to analysts, your entire team will have access to the most up-to-date data and insights they need to drive your business forward.
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Improve query performance
Eliminate bottlenecks caused by querying production or operational data and retain valuable historical data. Store all your data in a secure warehouse that automatically scales to meet your needs.
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All your data in one place
Store data from Singer and nearly any data source. Break down the silos separating your data to create a single source of truth your entire company can rely on.
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Integrate with SQL in minutes
SQL is the lingua franca of analytics, but your business users may be more comfortable with self-service BI tools than writing SELECT statements. Supporting both is no problem with Panoply. We make it easy to query and model your data from 30+ data sources with Panoply’s built-in SQL workbench (or your own favorite Postgres-flavored workbench) and sync data to multiple analytics tools, no ETL code required. Along with eliminating tedious setup and maintenance, Panoply’s built-in storage makes your queries faster, your pipelines more robust, and ensures that all your reporting is based on a single source of truth. Don’t choose between the SQL workbench you love and the BI tool the rest of the company can’t live without. Power both with Panoply.
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Integrate with Singer in minutes
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.
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