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 JSON data.Try Panoply for Free
Panoply automatically organizes data into query-ready tables and connects to popular BI tools like Python 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 JSON 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
Data scientists and analysts can now quickly ingest data into their python environment and write scripts to facilitate analytics and machine learning. The Panoply Smart Data Warehouse allows you to easily access data from a variety of sources in one central hub.
Panoply's Python integration 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 Python to over 100 data connectors without configuring any APIs or writing a single line of code. Panoply’s seamless Python integration is a great solution to get the most of your data without requiring a complicated data infrastructure.
In any data operations, including those that involve JSON files, an ETL method is needed to upload, process, and store JSON and other related data. The Panoply JSON integration makes it easy to extract JSON data, combine it with all your other data sources, and store it in one secure location. Panoply AI-driven data pipeline speeds and manages the entire process on the only enterprise-level cloud service that combines an automated ETL with a data warehouse.