Analyze your Amazon DynamoDB data in Pandas

Getting your data from Amazon DynamoDB to Pandas 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 Pandas 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 DynamoDB without complicated code.

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

See the Amazon DynamoDB 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 Pandas 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 DynamoDB 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 Pandas 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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Power BI
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Looker
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Mode Analytics
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Panintelligence
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Metabase
Amazon DynamoDB +
Google Data Studio
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Redash
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Apache Superset
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SeekWell
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Amazon QuickSight
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Domo
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Grafana
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Qlik
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Trevor.io
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Apache Zeppelin
Amazon DynamoDB +
Birst
Amazon DynamoDB +
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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KNIME
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MicroStrategy
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Pentaho
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Plotly
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PopSQL
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Julia
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Pandas
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Python
Amazon DynamoDB +
SQL
Amazon DynamoDB +
R
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Shiny
Amazon DynamoDB +
ThoughtSpot
Amazon DynamoDB +
TIBCO Spotfire X
Amazon DynamoDB +
Yellowfin
Amazon DynamoDB +
Zoho Analytics
Amazon DynamoDB +
Amazon S3
Amazon DynamoDB +
AppsFlyer
Amazon DynamoDB +
Asana
Amazon DynamoDB +
BigQuery
Amazon DynamoDB +
Bing Ads
Amazon DynamoDB +
CSV
Amazon DynamoDB +
Delighted
Amazon DynamoDB +
Elasticsearch
Amazon DynamoDB +
Facebook Ads
Amazon DynamoDB +
Facebook Pages
Amazon DynamoDB +
Facebook Posts
Amazon DynamoDB +
Fivetran
Amazon DynamoDB +
Google Ads
Amazon DynamoDB +
Google Analytics
Amazon DynamoDB +
Google Cloud Storage
Amazon DynamoDB +
Google Drive
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Google Analytics Ecommerce
Amazon DynamoDB +
Google Search Console
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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
Amazon DynamoDB +
LinkedIn Ads
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Magento
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MailChimp
Amazon DynamoDB +
Microsoft Azure SQL Data Warehouse
Amazon DynamoDB +
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
Amazon DynamoDB +
Redshift
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Salesforce
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Segment
Amazon DynamoDB +
SFTP
Amazon DynamoDB +
Shopify
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Singer
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SnapLogic
Amazon DynamoDB +
Snowplow
Amazon DynamoDB +
Stitch
Amazon DynamoDB +
Stripe
Amazon DynamoDB +
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
Amazon DynamoDB +
WooCommerce
Amazon DynamoDB +
Wordpress
Amazon DynamoDB +
Zapier
Amazon DynamoDB +
Zendesk

Integrate with Pandas in minutes

You love the power, flexibility, and expressiveness that Pandas’ data frames provide, but the rest of your team can’t live without 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 Pandas and the BI tool your coworkers rely on—power both with Panoply.

Learn more:
Documentation

See all integrations

Other integrations with Pandas

Pandas +
Salesforce
Pandas +
HubSpot
Pandas +
PostgreSQL
Pandas +
MySQL
Pandas +
MongoDB
Pandas +
Amazon S3
Pandas +
Facebook Ads
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Google Ads
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Google Analytics
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Shopify
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Zendesk
Pandas +
Fivetran
Pandas +
Google Sheets
Pandas +
JSON
Pandas +
Microsoft Azure SQL Data Warehouse
Pandas +
Microsoft Excel
Pandas +
Stitch
Pandas +
Twitter
Pandas +
BigQuery
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CSV
Pandas +
Google Search Console
Pandas +
Instagram for Business
Pandas +
LinkedIn Ads
Pandas +
Segment
Pandas +
Singer
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Stripe
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Twitter Ads
Pandas +
WooCommerce
Pandas +
Asana
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Intercom
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Amazon DynamoDB
Pandas +
AppsFlyer
Pandas +
Bing Ads
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Delighted
Pandas +
Elasticsearch
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Facebook Pages
Pandas +
Facebook Posts
Pandas +
Google Cloud Storage
Pandas +
Google Analytics Ecommerce
Pandas +
MailChimp
Pandas +
Microsoft SQL Server
Pandas +
Pardot
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Redshift
Pandas +
Twilio
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Upload Data
Pandas +
Wordpress
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SnapLogic
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Sybase
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Tray.io
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Google Drive
Pandas +
Jira
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Magento
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SFTP
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AdRoll
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AfterShip
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Amazon Aurora PostgreSQL
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Amazon Marketplace
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Apple Search Ads
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Azure Blob Storage
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BigCommerce
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Braintree Payments
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Branch
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BranchTrack
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Codat
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Crashlytics
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Criteo
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Desk
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Drip
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Dropbox
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Eloqua
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Freshdesk
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Front
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GitHub
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GitLab
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Help Scout
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Klaviyo
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Mailjet
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Marketo
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Mavenlink
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NetSuite
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optimizely
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Oracle Database
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Particle
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Payline
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PayPal
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Pinterest
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Recharge
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Sailthru
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Square
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Taboola
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Urban Airship
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Vero
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Webhooks
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Xero
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Birst
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CARTO
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Chartio
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Count
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Cumul.io
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Databricks
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Domo
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GoodData
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Google Data Studio
Pandas +
Grafana
Pandas +
Holistics
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IBM Cognos
Pandas +
Julia
Pandas +
Jupyter
Pandas +
Klipfolio
Pandas +
KNIME
Pandas +
Looker
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Metabase
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MicroStrategy
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Mode Analytics
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Panintelligence
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Pentaho
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Plotly
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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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Redash
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Shiny
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SQL
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Tableau
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ThoughtSpot
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TIBCO Spotfire X
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Trevor.io
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Yellowfin
Pandas +
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.