See how easy it is to centralize your data using Panoply. In just a few minutes, you can set up a data warehouse and start syncing all your business data.Try Panoply for Free
Panoply automatically organizes data from over 30 sources into query-ready tables and connects to popular BI tools and analytical notebooks. From executives to analysts, your entire team will have access to consistent, up-to-date data, no matter which BI tool they prefer.Browse BI Tool Integrations
Seamlessly sync all your business data to R and Jupyter using 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 reports, not fixing leaky plumbing.See All Integrations
Centralize your data by syncing and storing data from over 30 sources. Break down the silos separating your business data while enabling users to create reporting and discover insights in their favorite BI tool.Request a Demo
Quickly access data to perform machine learning and analytics applications using your favorite R packages like dplyr, gglot, and shiny, by connecting to Panoply. Panoply imports all of your data into your own secure Smart Data Warehouse for analytics, where it can be accessed with all of your other stored data.
Panoply’s integration with R reduces your analysis time, helping you to find insights that improve your business. With this data you’ll be building custom reports and dashboards in no time. Connect R to over 100 data connectors without configuring any APIs or writing a single line of code. Panoply’s seamless R integration is a great solution to get the most of your data without requiring a complicated data infrastructure.
With open source Jupyter Notebook, programmers create and share interactive code, visual graphics, and text. This BI tool supports script in over 40 languages. It integrates to large data platforms like Apache Spark from Python, R and Scala. You can share Jupyter Notebook work through email, Dropbox, GitHub or the Jupyter Notebook Viewer. As with any data operations, you need an ETL to extract, transform and output your Jupyter Notebook code work. Panoply’s Jupyter Notebook integration makes the ETL process easy and seamless. This fully automated pipeline manages the entire ETL workflow on the cloud in real time. With Panoply, your data is continuously uploaded, cleaned and streamed to the client side. So the output you share is always the most relevant and up to date.