Analyze your Amazon DynamoDB data in Python

Getting your data from Amazon DynamoDB 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 DynamoDB 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 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 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 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 Python 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

Our connectors

Other connectors with Amazon DynamoDB

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