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 Rivery data.Try Panoply for Free
Panoply automatically organizes data from Rivery and 30+ native data sources into query-ready tables and connects to popular BI tools like Shiny 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.See All BI Tool Integrations
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.See All Integrations
Store data from Rivery and 30+ native data integrations. Break down the silos separating your data to create a single source of truth your entire company can rely on.Get a Demo
With the Shiny (R) open source BI tool from RStudio, users can create their own interactive websites and dashboards. Host your Shiny web applications on your own server or on RStudio’s hosting service. With Shiny, anyone who knows R can design their own web apps without having to learn programming or web development.
The Shiny R package is user friendly, but you still need to do ETL (extract, transfer and load) work to process your data. Adding Panoply takes care of all the ETL for you. Panoply manages that entire process automatically. It seamlessly delivers your latest sorted and cleaned data to your Shiny web apps.
Rivery is an intuitive Saas integration tool that consolidates data from internal and external sources. It transmits diverse data to a single integration platform on the cloud. From there, you get business insights from one consolidated data set. Rivery’s code-free UI makes data processing fast and easy.
Panoply’s Rivery integration works even faster because Panoply streamlines the entire ETL process automatically and continuously. Panoply is the only fully integrated cloud service that combines an automated ETL with a data warehouse.