Panoply Documentation

Panoply Documentation

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Welcome to Panoply, we’re glad you’re here. The documentation contained in these pages will help you get started collecting and managing your data from all of your data sources.

Getting Started

Connecting to your Data Sources

Panoply makes it easy to connect your many data sources. You can set up any major database as a data source, ingest data via file upload, or choose one of the APIs Panoply supports. For most data sources the initial setup takes only minutes, but for advanced control of the data, there are a number of advanced settings that users can modify to manage how the data is collected.

These include things like primary and incremental keys, destinations, schemas and how nested data is handled.

Your Data Warehouse

Once your data is collected, it is stored in your data warehouse, built in either Google BigQuery or Amazon Redshift.

Analyzing Your Data

Panoply integrates with Business Intelligence tools such as Metabase, Tableau, Data Bricks, Looker, Jupyter Notebook, RStudio, and QlickView as well as ETL Tools, like Stitch.

As long as the tool you want to connect to Panoply uses ODBC/JDBC or has a built-in connector for Google BigQuery, Postgres or AWS Redshift, you should be able to use the same connection details for everything. 

Data Security

We value our customers, so we use the latest security measures. The Data Security guide explains how Panoply protects your data, our approach to access control, and details about IP whitelisting.