Analyze your Upload Data data in Python

Getting your data from Upload Data 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 Upload Data 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 Upload Data without complicated code.

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

See the Upload Data data Panoply collects

Connect to Python 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 Python 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 Upload Data 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 Upload Data in minutes

Panoply provides out of the box integration with dozens of popular data sources, allowing you to query and analyze your data instantly without requiring thousands of lines of custom code. While Panoply works with many popular storage and database solutions, including Amazon S3, MySQL, and Postgres, Panoply is also programmed to allow uploads of your own data files. Many different types of files and data technologies can be uploaded directly to Panoply, including:

  • .csv * .json * .txt * .gzip * .tar Panoply’s machine learning and NLP system models automate the data management process so that no ETL process is necessary. For custom data uploads, Panoply has several SDKs that reduce development time substantially.

Once the data is uploaded, it is instantly available for analyses and can be combined with all other data sources. Fast and simple, Panoply makes it easier to manage your data without a sizeable data warehousing infrastructure.

Learn more:
Documentation
Upload Data Data Warehousing
Upload Data Business Intelligence

See all integrations

Other integrations with Upload Data

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

See all integrations

Other integrations 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 +
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 +
Tray.io
Python +
Google Drive
Python +
Jira
Python +
NetSuite
Python +
SFTP
Python +
Square
Python +
AdRoll
Python +
AfterShip
Python +
Amazon Aurora PostgreSQL
Python +
Amazon Cloudfront
Python +
Amazon Kinesis Firehose
Python +
Amazon Marketplace
Python +
Apple Search Ads
Python +
Autopilot
Python +
Azure Blob Storage
Python +
Braintree Payments
Python +
Branch
Python +
BranchTrack
Python +
Campaign Monitor
Python +
Chargebee
Python +
Codat
Python +
Contact Pigeon
Python +
Contentful
Python +
Crashlytics
Python +
Criteo
Python +
Customer.io
Python +
Desk
Python +
Drip
Python +
Dropbox
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 +
Harvest Forecast
Python +
Harvest
Python +
Help Scout
Python +
Heroku Postgres
Python +
IBM DB2
Python +
Iterable
Python +
Klaviyo
Python +
Lever
Python +
Magento
Python +
Mailjet
Python +
MariaDB
Python +
Marketo
Python +
Mavenlink
Python +
Optimizely
Python +
Oracle Database
Python +
Particle
Python +
Payline
Python +
PayPal
Python +
Pinterest
Python +
Pipedrive
Python +
Pivotal Tracker
Python +
QuickBase
Python +
Quickbooks
Python +
Recharge
Python +
Recurly
Python +
Referral SaasQuatch
Python +
Sailthru
Python +
Salesforce Marketing Cloud
Python +
Selligent
Python +
SendGrid
Python +
Sendwithus
Python +
Shippo
Python +
Sparkpost
Python +
Spree Commerce
Python +
Taboola
Python +
Trello
Python +
Urban Airship
Python +
Vero
Python +
Webhooks
Python +
Xero
Python +
Zapier
Python +
Zendesk Chat
Python +
Zendesk Sell
Python +
Zoho CRM
Python +
Zuora
Python +
Amazon QuickSight
Python +
Apache Superset
Python +
Apache Zeppelin
Python +
Birst
Python +
CARTO
Python +
Chartio
Python +
Count
Python +
Cumul.io
Python +
Databricks
Python +
Domo
Python +
GoodData
Python +
Google Data Studio
Python +
Grafana
Python +
Holistics
Python +
IBM Cognos
Python +
Julia
Python +
Jupyter
Python +
Klipfolio
Python +
KNIME
Python +
Looker
Python +
Metabase
Python +
MicroStrategy
Python +
Mode Analytics
Python +
Pandas
Python +
Panintelligence
Python +
Pentaho
Python +
Plotly
Python +
PopSQL
Python +
Power BI
Python +
Qlik
Python +
R
Python +
Redash
Python +
SeekWell
Python +
Shiny
Python +
SQL
Python +
Tableau
Python +
ThoughtSpot
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TIBCO Spotfire X
Python +
Trevor.io
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Yellowfin
Python +
Zoho Analytics

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.