Analyze your Microsoft OneDrive data in Python

Getting your data from Microsoft OneDrive to Python 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 Microsoft OneDrive and Python with just a few clicks. Then Panoply will automatically sync your data so it’s ready to analyze when you are.

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

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How it works

Connect to Microsoft OneDrive without complicated code.

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

See the Microsoft OneDrive data Panoply collects

Connect to Python and start analyzing in minutes.

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Get started

for free

Free 21-Day Proof of Value

Query-ready data with just a few clicks

Seamlessly update all your Python reports and dashboards without lifting a finger. Set it up in minutes, then let Panoply handle the rest.
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Code-free data pipeline
Easily connect Microsoft OneDrive 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 Python with fresh data so your whole team can discover insights that drive your business forward.
See all BI tool integrations

Integrate with Microsoft OneDrive in minutes

Microsoft OneDrive keeps your files and memories protected and easily accessible accross devices. Panoply makes it easy to store and explore your Close data. Its integration loads Close analytics directly into your own Panoply Smart Data Warehouse without any ETL support required. There, your analysts have instant access to all of your data and can run queries, generate reports, or monitor your Close data with all of your other data sources.

Panoply’s quick and easy Close integration lets companies evaluate the ROI of their retargeting campaigns, determine optimum lead sources, and store their data for future use. Panoply allows companies to focus on Close data analysis, as it provides all of the functionality of a large-scale data infrastructure from within a cloud based PaaS.

Learn more:
Documentation
Microsoft OneDrive Data Warehousing
Microsoft OneDrive Business Intelligence

Our connectors

Other connectors with Microsoft OneDrive

Microsoft OneDrive +
Count
Microsoft OneDrive +
Tableau
Microsoft OneDrive +
Power BI
Microsoft OneDrive +
Looker
Microsoft OneDrive +
Luzmo
Microsoft OneDrive +
Mode Analytics
Microsoft OneDrive +
Panintelligence
Microsoft OneDrive +
Metabase
Microsoft OneDrive +
Looker Studio
Microsoft OneDrive +
Redash
Microsoft OneDrive +
Apache Superset
Microsoft OneDrive +
SeekWell
Microsoft OneDrive +
Amazon QuickSight
Microsoft OneDrive +
Domo
Microsoft OneDrive +
Grafana
Microsoft OneDrive +
Qlik
Microsoft OneDrive +
Trevor.io
Microsoft OneDrive +
Draxlr
Microsoft OneDrive +
Apache Zeppelin
Microsoft OneDrive +
Birst
Microsoft OneDrive +
CARTO
Microsoft OneDrive +
Databricks
Microsoft OneDrive +
GoodData
Microsoft OneDrive +
Holistics
Microsoft OneDrive +
IBM Cognos
Microsoft OneDrive +
Jupyter
Microsoft OneDrive +
Klipfolio
Microsoft OneDrive +
KNIME
Microsoft OneDrive +
MicroStrategy
Microsoft OneDrive +
Pentaho
Microsoft OneDrive +
Plotly
Microsoft OneDrive +
PopSQL
Microsoft OneDrive +
Julia
Microsoft OneDrive +
Pandas
Microsoft OneDrive +
Python
Microsoft OneDrive +
SQL
Microsoft OneDrive +
R
Microsoft OneDrive +
Shiny
Microsoft OneDrive +
ThoughtSpot
Microsoft OneDrive +
TIBCO Spotfire X
Microsoft OneDrive +
Yellowfin
Microsoft OneDrive +
Zoho Analytics
Microsoft OneDrive +
Amazon DynamoDB
Microsoft OneDrive +
Amazon S3
Microsoft OneDrive +
AppsFlyer
Microsoft OneDrive +
Asana
Microsoft OneDrive +
BigCommerce
Microsoft OneDrive +
BigQuery
Microsoft OneDrive +
Bing Ads
Microsoft OneDrive +
CSV
Microsoft OneDrive +
Delighted
Microsoft OneDrive +
Elasticsearch
Microsoft OneDrive +
Facebook Ads
Microsoft OneDrive +
Facebook Pages
Microsoft OneDrive +
Facebook Posts
Microsoft OneDrive +
Google Ads
Microsoft OneDrive +
Google Analytics
Microsoft OneDrive +
Google Cloud Storage
Microsoft OneDrive +
Google Drive
Microsoft OneDrive +
Google Search Console
Microsoft OneDrive +
Google Sheets
Microsoft OneDrive +
HubSpot
Microsoft OneDrive +
Instagram for Business
Microsoft OneDrive +
Intercom
Microsoft OneDrive +
Jira
Microsoft OneDrive +
JSON
Microsoft OneDrive +
Klaviyo
Microsoft OneDrive +
LinkedIn Ads
Microsoft OneDrive +
MailChimp
Microsoft OneDrive +
Microsoft Excel
Microsoft OneDrive +
Microsoft SQL Server
Microsoft OneDrive +
MongoDB
Microsoft OneDrive +
MySQL
Microsoft OneDrive +
NetSuite
Microsoft OneDrive +
Pardot
Microsoft OneDrive +
PostgreSQL
Microsoft OneDrive +
Quickbooks
Microsoft OneDrive +
Redshift
Microsoft OneDrive +
Salesforce
Microsoft OneDrive +
SFTP
Microsoft OneDrive +
Shopify
Microsoft OneDrive +
Square
Microsoft OneDrive +
Stripe
Microsoft OneDrive +
Twilio
Microsoft OneDrive +
Twitter Ads
Microsoft OneDrive +
Twitter
Microsoft OneDrive +
Upload Data
Microsoft OneDrive +
WooCommerce
Microsoft OneDrive +
Wordpress
Microsoft OneDrive +
Xero
Microsoft OneDrive +
Zendesk

Integrate with Python in minutes

Love the power of Python for analytics and machine learning but need a way to support it alongside other BI tools? Panoply makes it easy to pipe data to multiple analytics tools with 30+ code-free connectors you can set up in minutes.

Along with eliminating API configuration and maintenance, Panoply automatically stores a copy of your data in the cloud, making your queries faster and more stable. Plus, by powering all your BI and analytics tools with the same centralized data you can ensure that key metrics are consistent across the company, no matter who’s doing the reporting.

Learn more:
Documentation

Our connectors

Other connectors with Python

Python +
Salesforce
Python +
HubSpot
Python +
PostgreSQL
Python +
MySQL
Python +
MongoDB
Python +
Amazon S3
Python +
Facebook Ads
Python +
Google Ads
Python +
Google Analytics
Python +
Shopify
Python +
Zendesk
Python +
Google Sheets
Python +
JSON
Python +
Microsoft Excel
Python +
Twitter
Python +
BigQuery
Python +
CSV
Python +
Google Search Console
Python +
Instagram for Business
Python +
LinkedIn Ads
Python +
Stripe
Python +
Xero
Python +
BigCommerce
Python +
Twitter Ads
Python +
WooCommerce
Python +
Asana
Python +
Intercom
Python +
Amazon DynamoDB
Python +
AppsFlyer
Python +
Bing Ads
Python +
Delighted
Python +
Elasticsearch
Python +
Facebook Pages
Python +
Facebook Posts
Python +
Google Cloud Storage
Python +
MailChimp
Python +
Microsoft SQL Server
Python +
Pardot
Python +
Redshift
Python +
Twilio
Python +
Upload Data
Python +
Wordpress
Python +
Google Drive
Python +
Jira
Python +
Klaviyo
Python +
Microsoft OneDrive
Python +
NetSuite
Python +
Quickbooks
Python +
SFTP
Python +
Square
Python +
AdRoll
Python +
AfterShip
Python +
Amazon Ads
Python +
Amazon Aurora PostgreSQL
Python +
Amazon Cloudfront
Python +
Amazon Kinesis Firehose
Python +
Amazon Marketplace
Python +
Amazon Seller
Python +
Apple App Store
Python +
Apple Search Ads
Python +
Autopilot
Python +
Azure Blob Storage
Python +
Braintree Payments
Python +
Branch
Python +
BranchTrack
Python +
Campaign Monitor
Python +
CaptivateIQ
Python +
Chargebee
Python +
Clari
Python +
Close
Python +
Codat
Python +
Contact Pigeon
Python +
Contentful
Python +
Crashlytics
Python +
Criteo
Python +
Customer.io
Python +
Desk
Python +
Drip
Python +
Dropbox
Python +
EasyPayDirect
Python +
Eloqua
Python +
Enchant
Python +
FormKeep
Python +
Freshdesk
Python +
Front
Python +
GitHub
Python +
GitLab
Python +
Google Cloud SQL Postgres
Python +
Google Analytics Ecommerce
Python +
Google Cloud SQL MySQL
Python +
Grin
Python +
Harvest Forecast
Python +
Harvest
Python +
Help Scout
Python +
Heroku Postgres
Python +
IBM DB2
Python +
Invoiced
Python +
Iterable
Python +
Kandji
Python +
LeafLink
Python +
Lever
Python +
Magento
Python +
Mailjet
Python +
MariaDB
Python +
Marketo
Python +
Mavenlink
Python +
Maverick Payments
Python +
Maxio
Python +
Optimizely
Python +
Oracle Database
Python +
Particle
Python +
Payline
Python +
PayPal
Python +
Pinterest
Python +
Pipedrive
Python +
Pivotal Tracker
Python +
QuickBase
Python +
Rakuten
Python +
Recharge
Python +
Recurly
Python +
Reddit
Python +
Referral SaasQuatch
Python +
RingCentral
Python +
Sailthru
Python +
Salesforce Marketing Cloud
Python +
Selligent
Python +
SendGrid
Python +
Sendwithus
Python +
SentinelOne
Python +
Shippo
Python +
Sparkpost
Python +
SphereWMS
Python +
Spree Commerce
Python +
Taboola
Python +
Teachable
Python +
TikTok
Python +
Tray.io
Python +
Trello
Python +
Typeform
Python +
Urban Airship
Python +
Vero
Python +
Webhooks
Python +
WeInfuse
Python +
Zapier
Python +
Zendesk Chat
Python +
Zendesk Sell
Python +
Zoho CRM
Python +
Zoom
Python +
Zuora

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Frequently Asked Questions

How do I connect to my data?
To analyze 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 multiple data sources 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 our data connectors, 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.