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 Pandas 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
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.
You love the power, flexibility, and expressiveness that Pandas’ data frames provide, but the rest of your team can’t live without a user-friendly BI tool. Supporting both is no problem with Panoply. We make it easy to sync data from 30+ data sources to multiple analytics tools, no 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 Pandas and the BI tool your coworkers rely on—power both with Panoply.