Start analyzing your Amazon S3 data with Python

Integrating Amazon S3 and Python has never been easier. Try Panoply for Free
Store and sync your data from over 80 sources so it's always ready for action

Panoply in 30 seconds

Panoply is a cloud data warehouse that can be effortlessly set up to gather all your data in one place and seamlessly connected to any BI tool for lightning fast analytics.

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collect-data

Collect all your data in one place

Whether it's Salesforce, Facebook Ads, PostgreSQL or any other data source or file, simply select your data sources and start uploading them into Panoply with just a few clicks. We have over 150 native data source integrations ready to go.

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automate-data

Automate your data management

Loved by founders, analysts, and engineers, Panoply automatically models the data as its uploaded so you can immediately start querying multiple tables together. It also automatically scales storage and compute resources, and optimizes queries so you can spend time on insights, not maintenance.

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connect-tools

Connect to any business intelligence tool

Panoply provides a single source of data truth that seamlessly connects to any analytics or visualization tool in just one click. As new data becomes available, Panoply will instantly add them to your data warehouse, so your data is always fresh.

Browse 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.
See all Integrations

Other integrations with Amazon S3

Amazon S3 +
Chartio
Amazon S3 +
Tableau
Amazon S3 +
Power BI
Amazon S3 +
Looker
Amazon S3 +
Mode Analytics
Amazon S3 +
Cumul.io
Amazon S3 +
Metabase
Amazon S3 +
Sisense
Amazon S3 +
Redash
Amazon S3 +
Google Data Studio
Amazon S3 +
Apache Superset
Amazon S3 +
Amazon QuickSight
Amazon S3 +
Grafana
Amazon S3 +
Domo
Amazon S3 +
Microsoft Excel
Amazon S3 +
Qlik
Amazon S3 +
Alteryx
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 +
JackDB
Amazon S3 +
Jupyter
Amazon S3 +
Klipfolio
Amazon S3 +
KNIME
Amazon S3 +
Magento BI
Amazon S3 +
MicroStrategy
Amazon S3 +
Pentaho
Amazon S3 +
Plotly
Amazon S3 +
PopSQL
Amazon S3 +
Python
Amazon S3 +
R
Amazon S3 +
SeekWell
Amazon S3 +
Shiny
Amazon S3 +
ThoughtSpot
Amazon S3 +
TIBCO Spotfire X
Amazon S3 +
Trevor.io
Amazon S3 +
Trifacta
Amazon S3 +
Yellowfin
Amazon S3 +
Zoho Analytics
Amazon S3 +
AdColony
Amazon S3 +
Airbrake.io
Amazon S3 +
Alooma
Amazon S3 +
Amazon Aurora
Amazon S3 +
Amazon DynamoDB
Amazon S3 +
Apache Cassandra
Amazon S3 +
AppLovin
Amazon S3 +
AppsFlyer
Amazon S3 +
Asana
Amazon S3 +
Attunity
Amazon S3 +
BigQuery
Amazon S3 +
Bing Ads
Amazon S3 +
Blendo
Amazon S3 +
BlueSnap
Amazon S3 +
Chartboost
Amazon S3 +
ConvertKit
Amazon S3 +
CSV
Amazon S3 +
Delighted
Amazon S3 +
DoubleClick
Amazon S3 +
Elasticsearch
Amazon S3 +
etleap
Amazon S3 +
Facebook Ads
Amazon S3 +
Facebook Pages
Amazon S3 +
Flydata
Amazon S3 +
GitHub
Amazon S3 +
Google AdSense
Amazon S3 +
Google Ads
Amazon S3 +
Google Analytics
Amazon S3 +
Google Cloud Datastore
Amazon S3 +
Google Cloud Storage
Amazon S3 +
Google Analytics Ecommerce
Amazon S3 +
Google Search Console
Amazon S3 +
Google Sheets
Amazon S3 +
Hadoop
Amazon S3 +
HubSpot
Amazon S3 +
iAd Publisher
Amazon S3 +
iAd
Amazon S3 +
Informatica PowerCenter
Amazon S3 +
InMobi
Amazon S3 +
Instagram
Amazon S3 +
Intercom
Amazon S3 +
Jaspersoft
Amazon S3 +
JSON
Amazon S3 +
Kochava
Amazon S3 +
Librato
Amazon S3 +
LinkedIn Ads
Amazon S3 +
MailChimp
Amazon S3 +
Mandrill
Amazon S3 +
Marketo
Amazon S3 +
Matillion
Amazon S3 +
Metacommerce API
Amazon S3 +
Microsoft Azure SQL Data Warehouse
Amazon S3 +
Microsoft SQL Server
Amazon S3 +
MixPanel
Amazon S3 +
MongoDB
Amazon S3 +
MoPub
Amazon S3 +
MySQL
Amazon S3 +
Nielsen
Amazon S3 +
Ocado
Amazon S3 +
One Click Retail
Amazon S3 +
Panoply SDK
Amazon S3 +
Pardot
Amazon S3 +
Pendo
Amazon S3 +
PostgreSQL
Amazon S3 +
RabbitMQ
Amazon S3 +
Redshift
Amazon S3 +
Rivery
Amazon S3 +
Salesforce
Amazon S3 +
Segment
Amazon S3 +
Shopify
Amazon S3 +
Skyvia
Amazon S3 +
Slamdata
Amazon S3 +
SnapLogic
Amazon S3 +
Striim
Amazon S3 +
Stripe
Amazon S3 +
Supersonic
Amazon S3 +
Sybase
Amazon S3 +
Talend
Amazon S3 +
Tray.io
Amazon S3 +
Tune
Amazon S3 +
Twilio
Amazon S3 +
Twitter Ads
Amazon S3 +
Twitter
Amazon S3 +
Typeform
Amazon S3 +
Unity Ads Advertiser
Amazon S3 +
Unity Ads Publisher
Amazon S3 +
Upload Data
Amazon S3 +
Vungle
Amazon S3 +
Wordpress
Amazon S3 +
Xero
Amazon S3 +
Xplenty
Amazon S3 +
Yahoo Gemini Ads
Amazon S3 +
Youtube
Amazon S3 +
Zendesk
Amazon S3 +
Zoho CRM

Integrate with Python in minutes

Data scientists and analysts can now quickly ingest data into their python environment and write scripts to facilitate analytics and machine learning. The Panoply Smart Data Warehouse allows you to easily access data from a variety of sources in one central hub.

Panoply's Python integration reduces your analysis time, helping you to find insights that improve your business. With this data you’ll be building custom reports and dashboards in no time. Connect Python to over 100 data connectors without configuring any APIs or writing a single line of code. Panoply’s seamless Python integration is a great solution to get the most of your data without requiring a complicated data infrastructure.

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 +
Twitter
Python +
Google Sheets
Python +
JSON
Python +
Youtube
Python +
Microsoft Azure SQL Data Warehouse
Python +
Blendo
Python +
BigQuery
Python +
Stripe
Python +
LinkedIn Ads
Python +
Google Search Console
Python +
Google Cloud Datastore
Python +
CSV
Python +
Instagram
Python +
Hadoop
Python +
Segment
Python +
Xero
Python +
MixPanel
Python +
Twitter Ads
Python +
Marketo
Python +
Intercom
Python +
Asana
Python +
Nielsen
Python +
Google Cloud Storage
Python +
Google AdSense
Python +
GitHub
Python +
iAd Publisher
Python +
iAd
Python +
Tune
Python +
InMobi
Python +
Facebook Pages
Python +
Yahoo Gemini Ads
Python +
Wordpress
Python +
Elasticsearch
Python +
Kochava
Python +
Librato
Python +
DoubleClick
Python +
MailChimp
Python +
Mandrill
Python +
Delighted
Python +
Vungle
Python +
Metacommerce API
Python +
ConvertKit
Python +
Microsoft SQL Server
Python +
Chartboost
Python +
BlueSnap
Python +
MoPub
Python +
Bing Ads
Python +
Google Analytics Ecommerce
Python +
Ocado
Python +
One Click Retail
Python +
Panoply SDK
Python +
Pardot
Python +
Pendo
Python +
AppsFlyer
Python +
RabbitMQ
Python +
Redshift
Python +
Upload Data
Python +
AppLovin
Python +
Apache Cassandra
Python +
Amazon DynamoDB
Python +
Unity Ads Publisher
Python +
Unity Ads Advertiser
Python +
Typeform
Python +
Amazon Aurora
Python +
AdColony
Python +
Supersonic
Python +
Airbrake.io
Python +
Twilio
Python +
Zoho CRM
Python +
Attunity
Python +
Informatica PowerCenter
Python +
Flydata
Python +
Jaspersoft
Python +
Matillion
Python +
Rivery
Python +
Skyvia
Python +
Slamdata
Python +
SnapLogic
Python +
Striim
Python +
Sybase
Python +
Talend
Python +
Tray.io
Python +
Xplenty
Python +
etleap
Python +
Alooma
Python +
Alteryx
Python +
Amazon QuickSight
Python +
Apache Superset
Python +
Apache Zeppelin
Python +
Birst
Python +
CARTO
Python +
Chartio
Python +
Cumul.io
Python +
Databricks
Python +
Domo
Python +
GoodData
Python +
Google Data Studio
Python +
Grafana
Python +
Holistics
Python +
IBM Cognos
Python +
JackDB
Python +
Jupyter
Python +
Klipfolio
Python +
KNIME
Python +
Looker
Python +
Magento BI
Python +
Metabase
Python +
Microsoft Excel
Python +
MicroStrategy
Python +
Mode Analytics
Python +
Pentaho
Python +
Plotly
Python +
PopSQL
Python +
Power BI
Python +
Qlik
Python +
R
Python +
Redash
Python +
SeekWell
Python +
Shiny
Python +
Sisense
Python +
Tableau
Python +
ThoughtSpot
Python +
TIBCO Spotfire X
Python +
Trevor.io
Python +
Trifacta
Python +
Yellowfin
Python +
Zoho Analytics
Python +
AdRoll
Python +
AfterShip
Python +
Amazon Aurora PostgreSQL
Python +
Amazon Cloudfront
Python +
Amazon Kinesis Firehose
Python +
Apple Search Ads
Python +
Autopilot
Python +
Azure Blob Storage
Python +
Braintree Payments
Python +
Branch
Python +
BranchTrack
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 +
Facebook App Events
Python +
Fivetran
Python +
FormKeep
Python +
Freshdesk
Python +
Front
Python +
GitLab
Python +
Google Cloud SQL Postgres
Python +
Google Drive
Python +
Google Cloud SQL MySQL
Python +
Harvest
Python +
Help Scout
Python +
Heroku Postgres
Python +
IBM DB2
Python +
Iterable
Python +
Klaviyo
Python +
Mailjet
Python +
MariaDB
Python +
Mavenlink
Python +
NetSuite
Python +
optimizely
Python +
Particle
Python +
Pinterest
Python +
Pipedrive
Python +
Pivotal Tracker
Python +
QuickBase
Python +
Quickbooks
Python +
Recharge
Python +
Recurly
Python +
Referral SaasQuatch
Python +
Sailthru
Python +
Salesforce IQ
Python +
Salesforce Marketing Cloud
Python +
Selligent
Python +
SendGrid
Python +
Sendwithus
Python +
SFTP
Python +
Shippo
Python +
Singer
Python +
Snowplow
Python +
Sparkpost
Python +
Spree Commerce
Python +
Square
Python +
Stitch
Python +
Taboola
Python +
Trello
Python +
Urban Airship
Python +
Vero
Python +
Webhooks
Python +
Zapier
Python +
Zendesk Chat
Python +
Zendesk Sell
Python +
Zuora

Start Analyzing your Data for Free

Panoply will store and sync your data for free for 14 days

Try Panoply Free Request Demo

Free 14 day trial. No credit card required.

Common Questions

How do I connect Python to my Amazon S3 data?
To start analyzing your Amazon S3 data in Python, you’ll first create a connection to Panoply. Panoply stores a replica of your Amazon S3 data and syncs it so it’s always up-to-date and ready for analysis. You can connect Python to your Amazon S3 data in Panoply via an ODBC connection.
What data can I integrate with Python?
Panoply allows you to integrate Python with over 80 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 80 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.