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 KNIME 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
KNIME is an open source platform that analyzes and integrates data and designs apps, services and reusable components. Machine learning, AI and predictive modeling are some of the advanced features of this powerful BI tool. With over 2000 modules, you can build your own end-to-end workflow or use one of hundreds of sample workflows to get started fast. Make your KNIME analytics work even faster by adding Panoply with one click. The Panoply KNIME integrator automates all the ETL work for you. It uploads data from any source in minutes, stores it in one place, and then simplifies and sorts the data. The all-in-one Panoply data stack seamlessly updates KNIME output in real time when your source data changes. So your KNIME analysis results are always clean, relevant and up to date.
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.