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 Stitch data.Try Panoply for Free
Panoply automatically organizes data from Stitch and 30+ native data sources 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
Eliminate bottlenecks caused by querying production or operational data and retain valuable historical data. Store all your data in a secure warehouse that automatically scales to meet your needs.See All Integrations
Store data from Stitch and 30+ native data integrations. Break down the silos separating your data to create a single source of truth your entire company can rely on.Get a Demo
With Stitch’s ETL solution you can easily integrate and transform endless data sources, including advertising, analytics, automation, business, CRM, databases, email, payments, and support tools. They handle replication from every 24 hours to every few minutes. You can also control what type of data is ingested, including specific tables, fields, and endpoints. All of their integrations are powered by Singer and an open source ETL standard.
You live in Jupyter Notebooks for analytics and prototyping and you love the flexibility and expressiveness of Python, Pandas, R and Julia, but your business users need the ease of a user-friendly BI tool. Supporting both is no problem with Panoply. We make it easy to sync data from 30+ data sources to multiple analytics tools, no code required.
Along with eliminating tedious setup and maintenance, Panoply’s built-in storage makes your queries faster, your pipelines more robust, and ensures that all your reporting is based on a single source of truth. Don’t choose between the open source tool you love and the BI tool the rest of the company can’t live without—power both with Panoply.