Analyze your Amazon S3 data in Python

Getting your data from Amazon S3 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 Amazon S3 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 Amazon S3 without complicated code.

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

See the Amazon S3 data Panoply collects

Connect to Python and start analyzing in minutes.

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Get started

for free

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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 Amazon S3 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 Amazon S3 in minutes

Panoply provides end to end data automation, from extraction to analysis, all with an ETL-free pipeline that is capable of connecting to both structured and semi-structured data sources. One of its most popular integrations is with Amazon Simple Storage Service, known as Amazon S3, a cloud based scalable storage solution.

It takes only a few minutes to setup Panoply’s integration with Amazon S3, allowing businesses of all sizes to import their historical data to the Panoply platform with only a few clicks. With Panoply, your Amazon S3 data will quickly become a part of your data warehouse and can be analyzed along with any additional data sources you may collect. With Panoply, you can start turning your Amazon S3 storage into useable data, all without any additional custom scripts.

Learn more:
Documentation
Amazon S3 Data Warehousing
Amazon S3 Business Intelligence

Our connectors

Other connectors with Amazon S3

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