Analyze your JSON Data in Pandas

Integrating Pandas and JSON has never been easier. Try Panoply for Free
Easily integrate data from over 30+ sources so it’s always ready for action.

Panoply in 30 seconds

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.

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Fuel your analytics

Panoply automatically organizes data into query-ready tables and connects to popular BI tools like Pandas 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.

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Code-free data pipeline

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.

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All your data in one place

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.

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Integrate with Pandas in minutes

You love the power, flexibility, and expressiveness that Pandas’ data frames provide, but the rest of your team can’t live without 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 Pandas and the BI tool your coworkers rely on—power both with Panoply.

Learn more:
Documentation

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Integrate with JSON in minutes

JavaScript Object Notation (JSON) is a lightweight data-interchange file format based on the JavaScript programming language. JSON text format is often used to transfer data files between web apps and servers. Its language conventions are like those of other programming languages, which makes JSON convenient for programmers. Because JSON is so easy for both machines and humans to work with, large amounts of source data are often stored in JSON files.

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.

Learn more:
Documentation
JSON Data Warehousing
JSON Business Intelligence

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Other integrations with JSON

JSON +
Chartio
JSON +
Tableau
JSON +
Power BI
JSON +
Looker
JSON +
Cumul.io
JSON +
Mode Analytics
JSON +
Metabase
JSON +
Google Data Studio
JSON +
Redash
JSON +
Apache Superset
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SeekWell
JSON +
Amazon QuickSight
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Domo
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Grafana
JSON +
Qlik
JSON +
Trevor.io
JSON +
Alteryx
JSON +
Apache Zeppelin
JSON +
Birst
JSON +
CARTO
JSON +
Databricks
JSON +
GoodData
JSON +
Holistics
JSON +
IBM Cognos
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JackDB
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Jupyter
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Klipfolio
JSON +
KNIME
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MicroStrategy
JSON +
Pentaho
JSON +
Plotly
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PopSQL
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Julia
JSON +
Pandas
JSON +
Python
JSON +
SQL
JSON +
R
JSON +
Shiny
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Yellowfin
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Alooma
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Amazon S3
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AppsFlyer
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Asana
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Attunity
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BigQuery
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CSV
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Elasticsearch
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etleap
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Facebook Ads
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Facebook Pages
JSON +
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Fivetran
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JSON +
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JSON +
Google Cloud Storage
JSON +
Google Drive
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JSON +
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JSON +
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JSON +
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JSON +
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JSON +
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JSON +
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JSON +
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JSON +
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Twilio
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Twitter
JSON +
Upload Data
JSON +
WooCommerce
JSON +
Wordpress
JSON +
Xplenty
JSON +
Zapier
JSON +
Zendesk

Try It Now

Start syncing your JSON data to Pandas now. Get a full Panoply trial free for 14 days.

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Frequently Asked Questions

How do I connect Pandas to my JSON data?
To analyze your JSON data in Pandas, you’ll first create a connection to Panoply. Panoply stores a replica of your JSON data and syncs it so it’s always up-to-date and ready for analysis. You can connect Pandas to your JSON data in Panoply via an ODBC connection.
What data can I integrate with Pandas?
Panoply allows you to integrate Pandas with 60+ data integrations including all major CRMs, databases, file systems, ad networks, analytics platforms, and finance tools. All of your data is stored in ready-to-analyze tables that can be joined together with SQL or merged in your BI tools. Integrating data for cross-channel advertising analysis, full-funnel conversion analysis, and CAC vs LTV analysis has never been so easy.
What is Panoply?
Panoply is a secure place to sync, store, and access all your business data. With unlimited access to over 60 data integrations, Panoply makes it possible to create an integrated view of your entire business. Everyone in your organization can share this single source of truth across any BI tool or analytical notebook with unlimited queries from unlimited users.

Technically speaking, Panoply provides the ETL (Extract, Transform, Load) and data warehouse functionality in one platform with the added benefit of simple role-based data governance, the security of AWS infrastructure, and SOC-2 and GDPR compliance.