Analyze your Amazon S3 data in Jupyter

Getting your data from Amazon S3 to Jupyter 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 Jupyter 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.

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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 Panoply collects

Connect to Mode Analytics and start analyzing in minutes.

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Get started

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14 day free trial

Query-ready data with just a few clicks

Seamlessly update all your Jupyter 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 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 Jupyter 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

See all integrations

Other integrations with Amazon S3

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Panintelligence
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Google Data Studio
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Apache Superset
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Domo
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Grafana
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Birst
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CARTO
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Databricks
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GoodData
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Holistics
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IBM Cognos
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Jupyter
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Klipfolio
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Pentaho
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Plotly
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PopSQL
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Julia
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Shiny
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Yellowfin
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Zoho Analytics
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Amazon DynamoDB
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AppsFlyer
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BigQuery
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Bing Ads
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CSV
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Delighted
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Elasticsearch
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Facebook Ads
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Fivetran
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Google Ads
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Google Cloud Storage
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Google Drive
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Google Search Console
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Google Sheets
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Instagram for Business
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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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MySQL
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PostgreSQL
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Redshift
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Segment
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SFTP
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Stitch
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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
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WooCommerce
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Wordpress
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Zapier
Amazon S3 +
Zendesk

Integrate with Jupyter in minutes

You live in Jupyter Notebooks for analytics and prototyping and you love the flexibility and expressiveness of Python, Pandas, R and Julia, but your business users need the ease of 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 the open source tool you love and the BI tool the rest of the company can’t live without—power both with Panoply.

Learn more:
Documentation

See all integrations

Other integrations with Jupyter

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PostgreSQL
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MySQL
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MongoDB
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Amazon S3
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Facebook Ads
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Google Ads
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Google Analytics
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Shopify
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Zendesk
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Fivetran
Jupyter +
Google Sheets
Jupyter +
JSON
Jupyter +
Microsoft Azure SQL Data Warehouse
Jupyter +
Microsoft Excel
Jupyter +
Stitch
Jupyter +
Twitter
Jupyter +
BigQuery
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CSV
Jupyter +
Google Search Console
Jupyter +
Instagram for Business
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LinkedIn Ads
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Segment
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Singer
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Stripe
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Twitter Ads
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WooCommerce
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Asana
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Intercom
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Amazon DynamoDB
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AppsFlyer
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Bing Ads
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Delighted
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Elasticsearch
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Facebook Pages
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Facebook Posts
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Google Cloud Storage
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MailChimp
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Microsoft SQL Server
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Pardot
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Upload Data
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Tray.io
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AdRoll
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AfterShip
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Harvest
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Cumul.io
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MicroStrategy
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PopSQL
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Python
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Qlik
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R
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Redash
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SeekWell
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Shiny
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SQL
Jupyter +
Tableau
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ThoughtSpot
Jupyter +
TIBCO Spotfire X
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Trevor.io
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Yellowfin
Jupyter +
Zoho Analytics

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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.