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 into query-ready tables and connects to popular BI tools like Python 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
Seamlessly sync Rivery and all your other data sources with Panoply’s built-in ETL. Set up a pipeline in minutes with our simple point-and-click interface, then we’ll handle the ongoing maintenance so you can focus on building value, not fixing leaky plumbing.See All Integrations
Easily sync and store over 30+ data sources. Break down the silos separating your data to create a single source of truth your whole 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.
Love the power of Python for analytics and machine learning but need a way to support it alongside other BI tools? Panoply makes it easy to pipe data to multiple analytics tools with 30+ code-free connectors you can set up in minutes.
Along with eliminating API configuration and maintenance, Panoply automatically stores a copy of your data in the cloud, making your queries faster and more stable. Plus, by powering all your BI and analytics tools with the same centralized data you can ensure that key metrics are consistent across the company, no matter who’s doing the reporting.