Watch how easy it is to connect to your data. It only takes a few minutes to sync your data into Panoply so that it’s available to all your teammates and all your tools.Try Panoply for Free
With over 80 data source connections, you can gather all your business data in one place in minutes. You’ll never have to worry about silos separating your CRM, database, advertising, analytics, or other business data.Request a Demo
Seamlessly scale from gigabytes to terabytes without worrying about performance or maintenance. Panoply combines a data-warehouse-as-a-service with integrated ETL pipelines in a simple management console that requires no engineering experience.Request a Demo
With Panoply, your data has the power to transform your business. Panoply prepares your data into easy-to-analyze tables and connects to all popular BI tools and analytical notebooks. From the executives to the analysts, everyone will have the most up-to-date data and the insights they need to drive your business forward.Browse BI Tool Integrations
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.