Analyze your Stripe data in Pandas

Getting your data from Stripe to Pandas can be a pain. Managing pipelines for all your data sources just isn’t sustainable, but your reporting can’t be put on hold while you wait for IT or Engineering to get to your ticket.

With Panoply, you can eliminate that hassle—and all that wasted time. Set up code-free connections to both Stripe and Pandas with just a few clicks and Panoply automatically syncs your data so it’s ready to analyze when you are.

It’s really that simple: Unblock your data with Panoply.

Try Panoply Free

How it works

Connect to Stripe without complicated code.

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Automatically sync and store the data you want with table-level control.

See the Stripe Panoply collects

Connect to Mode Analytics and start analyzing in minutes.

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Get started

for free

14 day free trial

Query-ready data with just a few clicks

Seamlessly update all your Pandas reports and dashboards without lifting a finger. Set it up in minutes, then let Panoply handle the rest.
Try Panoply Free
Code-free data pipeline
Easily connect Stripe and all your other data sources with automated integrations that take pipeline management off your to-do list.
See all data source integrations
Fuel your analytics
Power BI and analytical tools like Pandas with fresh data so your whole team can discover insights that drive your business forward.
See all BI tool integrations

Integrate with Stripe in minutes

Stripe is a financial services company that provides payment processing software and applications geared toward developers. Stripe’s developer tools are extremely robust and the Stripe Sigma interface allows programmers to create custom reports using SQL. However, merchants without a developer on their team, as well as those who want to easily blend their Stripe analytics with data from other sources, may find themselves in need of a better solution. With Panoply’s code-free cloud data platform, merchants can effortlessly sync, store, and combine their valuable Stripe data with 300+ data sources and destinations. Merchants use Panoply to combine their Stripe data with data sources like Google Ads, Magento, and HubSpot, and business intelligence tools like Power BI and Tableau, to unlock essential analytics for their business.

Learn more:
Documentation

See all integrations

Other integrations with Stripe

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Cumul.io
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Mode Analytics
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Google Data Studio
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Apache Superset
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Amazon QuickSight
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Birst
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CARTO
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Databricks
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IBM Cognos
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Jupyter
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Klipfolio
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KNIME
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Pentaho
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Plotly
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PopSQL
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Julia
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Python
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SQL
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R
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Shiny
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ThoughtSpot
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TIBCO Spotfire X
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Yellowfin
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Zoho Analytics
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Amazon DynamoDB
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Amazon S3
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AppsFlyer
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Asana
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BigQuery
Stripe +
Bing Ads
Stripe +
CSV
Stripe +
Delighted
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Elasticsearch
Stripe +
Facebook Ads
Stripe +
Facebook Pages
Stripe +
Facebook Posts
Stripe +
Fivetran
Stripe +
Google Ads
Stripe +
Google Analytics
Stripe +
Google Cloud Storage
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Google Drive
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Google Analytics Ecommerce
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Google Search Console
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Google Sheets
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HubSpot
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Instagram for Business
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Intercom
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Jira
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JSON
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LinkedIn Ads
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Magento
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MailChimp
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Microsoft Azure SQL Data Warehouse
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Microsoft Excel
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Microsoft SQL Server
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MongoDB
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MySQL
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Pardot
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PostgreSQL
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Redshift
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Salesforce
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Segment
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SFTP
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Shopify
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Singer
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Sybase
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Tray.io
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Twilio
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Twitter Ads
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Twitter
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Upload Data
Stripe +
WooCommerce
Stripe +
Wordpress
Stripe +
Zapier
Stripe +
Zendesk

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

See all integrations

Other integrations with Pandas

Pandas +
Salesforce
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HubSpot
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PostgreSQL
Pandas +
MySQL
Pandas +
MongoDB
Pandas +
Amazon S3
Pandas +
Facebook Ads
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Google Ads
Pandas +
Google Analytics
Pandas +
Shopify
Pandas +
Zendesk
Pandas +
Fivetran
Pandas +
Google Sheets
Pandas +
JSON
Pandas +
Microsoft Azure SQL Data Warehouse
Pandas +
Microsoft Excel
Pandas +
Stitch
Pandas +
Twitter
Pandas +
BigQuery
Pandas +
CSV
Pandas +
Google Search Console
Pandas +
Instagram for Business
Pandas +
LinkedIn Ads
Pandas +
Segment
Pandas +
Singer
Pandas +
Stripe
Pandas +
Twitter Ads
Pandas +
WooCommerce
Pandas +
Asana
Pandas +
Intercom
Pandas +
Amazon DynamoDB
Pandas +
AppsFlyer
Pandas +
Bing Ads
Pandas +
Delighted
Pandas +
Elasticsearch
Pandas +
Facebook Pages
Pandas +
Facebook Posts
Pandas +
Google Cloud Storage
Pandas +
Google Analytics Ecommerce
Pandas +
MailChimp
Pandas +
Microsoft SQL Server
Pandas +
Pardot
Pandas +
Redshift
Pandas +
Twilio
Pandas +
Upload Data
Pandas +
Wordpress
Pandas +
SnapLogic
Pandas +
Sybase
Pandas +
Tray.io
Pandas +
Google Drive
Pandas +
Jira
Pandas +
Magento
Pandas +
SFTP
Pandas +
Snowplow
Pandas +
Zapier
Pandas +
AdRoll
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AfterShip
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Amazon Aurora PostgreSQL
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Amazon Cloudfront
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Amazon Kinesis Firehose
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Amazon Marketplace
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Apple Search Ads
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Autopilot
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Azure Blob Storage
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BigCommerce
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Braintree Payments
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Contact Pigeon
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Dropbox
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FormKeep
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Freshdesk
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Front
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GitHub
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GitLab
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Google Cloud SQL Postgres
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Google Cloud SQL MySQL
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Harvest
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Help Scout
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Heroku Postgres
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IBM DB2
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Iterable
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Klaviyo
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Mailjet
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MariaDB
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Marketo
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Mavenlink
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NetSuite
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optimizely
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Oracle Database
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Particle
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Payline
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PayPal
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Pinterest
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Pipedrive
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QuickBase
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Quickbooks
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Recharge
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Sailthru
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Apache Zeppelin
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Birst
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CARTO
Pandas +
Chartio
Pandas +
Count
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Cumul.io
Pandas +
Databricks
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Domo
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GoodData
Pandas +
Google Data Studio
Pandas +
Grafana
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Holistics
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IBM Cognos
Pandas +
Julia
Pandas +
Jupyter
Pandas +
Klipfolio
Pandas +
KNIME
Pandas +
Looker
Pandas +
Metabase
Pandas +
MicroStrategy
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Mode Analytics
Pandas +
Panintelligence
Pandas +
Pentaho
Pandas +
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Pandas +
PopSQL
Pandas +
Power BI
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Python
Pandas +
Qlik
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R
Pandas +
Redash
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SeekWell
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Shiny
Pandas +
SQL
Pandas +
Tableau
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ThoughtSpot
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TIBCO Spotfire X
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Yellowfin
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Try It Now

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Frequently Asked Questions

How do I connect to my data?
To start analyzing your data in , you’ll first create a connection to Panoply. Panoply stores a replica of your data and syncs it so it’s always up-to-date and ready for analysis. You can connect to your data in Panoply via an ODBC connection.
What data can I integrate with ?
Panoply allows you to integrate with over 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 60+ data integrations, Panoply transforms scattered data into a single source of truth that’s accessible to your entire team via any BI tool or analytical notebook. Run as many queries as you’d like and add as many users as you need for one transparent price.

Technically speaking, Panoply combines user-friendly ETL (Extract, Transform, Load) data pipelines and data warehouse functionality in one platform. Get the control you need with simple role-based data governance, the security of AWS infrastructure, and SOC-2 and GDPR compliance.