Analyze your Amazon DynamoDB data in Jupyter

Getting your data from Amazon DynamoDB 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 DynamoDB and Jupyter 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 DynamoDB without complicated code.

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

See the Amazon DynamoDB data Panoply collects

Connect to Jupyter and start analyzing in minutes.

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Get started

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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.
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Code-free data pipeline
Easily connect Amazon DynamoDB and all your other data sources with automated integrations that take pipeline management off your to-do list.
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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 DynamoDB in minutes

Panoply comes ready for integration with your Amazon DynamoDB data. Within minutes, your DynamoDB data is available for quick, easy access, and can be connected and combined with other data sources seamlessly without requiring an in-house ETL or ELT process. Amazon DynamoDB is a NoSQL cloud database with automatic scaling and single digit millisecond latency. Panoply’s DynamoDB integration automatically uploads your NoSQL data directly into the Panoply Smart Data Warehouse, providing unlimited cloud storage. Once stored, your data analysts can quickly explore your IoT, mobile, advertising, and other NoSQL data from within Panoply, and generate custom reports and dashboards without any custom scripts.

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

See all integrations

Other integrations with Amazon DynamoDB

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