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 Stripe data.Try Panoply for Free
Panoply automatically organizes data into query-ready tables and connects to popular BI tools like Jupyter 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 Stripe 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
Let Panoply integrate your Stripe data into your cloud data warehouse in moments, so that it is ready for immediate analysis. Stripe, known best for its online payment system, provides sales and customer data in the form of their Sigma product.
Panoply can extract that data directly from Stripe and instantly add it to your data warehouse without any additional ETL or ELT support. Stripe data can then be queried, compared, and analyzed from within the Panoply platform both by itself and with other data sources.
With Panoply, businesses can generate better customer analytics, determine market opportunities, reduce return rates, and compare across data channels all from within Panoply’s single, end to end data management platform. Panoply makes it easier for companies to use their Stripe data without an expensive and expansive data warehouse and analysis 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.