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. 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 Pandas 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 Pandas 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 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

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 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

Our connectors

Other connectors with Pandas

Pandas +
Salesforce
Pandas +
HubSpot
Pandas +
PostgreSQL
Pandas +
MySQL
Pandas +
MongoDB
Pandas +
Amazon S3
Pandas +
Facebook Ads
Pandas +
Google Ads
Pandas +
Google Analytics
Pandas +
Shopify
Pandas +
Zendesk
Pandas +
Google Sheets
Pandas +
JSON
Pandas +
Microsoft Excel
Pandas +
Twitter
Pandas +
BigQuery
Pandas +
CSV
Pandas +
Google Search Console
Pandas +
Instagram for Business
Pandas +
LinkedIn Ads
Pandas +
Stripe
Pandas +
Xero
Pandas +
BigCommerce
Pandas +
Twitter Ads
Pandas +
WooCommerce
Pandas +
Asana
Pandas +
Intercom
Pandas +
Amazon DynamoDB
Pandas +
AppsFlyer
Pandas +
Bing Ads
Pandas +
Delighted
Pandas +
Elasticsearch
Pandas +
Facebook Pages
Pandas +
Facebook Posts
Pandas +
Google Cloud Storage
Pandas +
MailChimp
Pandas +
Microsoft SQL Server
Pandas +
Pardot
Pandas +
Redshift
Pandas +
Twilio
Pandas +
Upload Data
Pandas +
Wordpress
Pandas +
Google Drive
Pandas +
Jira
Pandas +
Klaviyo
Pandas +
Microsoft OneDrive
Pandas +
NetSuite
Pandas +
Quickbooks
Pandas +
SFTP
Pandas +
Square
Pandas +
AdRoll
Pandas +
AfterShip
Pandas +
Amazon Ads
Pandas +
Amazon Aurora PostgreSQL
Pandas +
Amazon Cloudfront
Pandas +
Amazon Kinesis Firehose
Pandas +
Amazon Marketplace
Pandas +
Amazon Seller
Pandas +
Apple App Store
Pandas +
Apple Search Ads
Pandas +
Autopilot
Pandas +
Azure Blob Storage
Pandas +
Braintree Payments
Pandas +
Branch
Pandas +
BranchTrack
Pandas +
Campaign Monitor
Pandas +
CaptivateIQ
Pandas +
Chargebee
Pandas +
Clari
Pandas +
Close
Pandas +
Codat
Pandas +
Contact Pigeon
Pandas +
Contentful
Pandas +
Crashlytics
Pandas +
Criteo
Pandas +
Customer.io
Pandas +
Desk
Pandas +
Drip
Pandas +
Dropbox
Pandas +
EasyPayDirect
Pandas +
Eloqua
Pandas +
Enchant
Pandas +
FormKeep
Pandas +
Freshdesk
Pandas +
Front
Pandas +
GitHub
Pandas +
GitLab
Pandas +
Google Cloud SQL Postgres
Pandas +
Google Analytics Ecommerce
Pandas +
Google Cloud SQL MySQL
Pandas +
Grin
Pandas +
Harvest Forecast
Pandas +
Harvest
Pandas +
Help Scout
Pandas +
Heroku Postgres
Pandas +
IBM DB2
Pandas +
Invoiced
Pandas +
Iterable
Pandas +
Kandji
Pandas +
LeafLink
Pandas +
Lever
Pandas +
Magento
Pandas +
Mailjet
Pandas +
MariaDB
Pandas +
Marketo
Pandas +
Mavenlink
Pandas +
Maverick Payments
Pandas +
Maxio
Pandas +
Optimizely
Pandas +
Oracle Database
Pandas +
Particle
Pandas +
Payline
Pandas +
PayPal
Pandas +
Pinterest
Pandas +
Pipedrive
Pandas +
Pivotal Tracker
Pandas +
QuickBase
Pandas +
Rakuten
Pandas +
Recharge
Pandas +
Recurly
Pandas +
Reddit
Pandas +
Referral SaasQuatch
Pandas +
RingCentral
Pandas +
Sailthru
Pandas +
Salesforce Marketing Cloud
Pandas +
Selligent
Pandas +
SendGrid
Pandas +
Sendwithus
Pandas +
SentinelOne
Pandas +
Shippo
Pandas +
Sparkpost
Pandas +
SphereWMS
Pandas +
Spree Commerce
Pandas +
Taboola
Pandas +
Teachable
Pandas +
TikTok
Pandas +
Tray.io
Pandas +
Trello
Pandas +
Typeform
Pandas +
Urban Airship
Pandas +
Vero
Pandas +
Webhooks
Pandas +
Zapier
Pandas +
Zendesk Chat
Pandas +
Zendesk Sell
Pandas +
Zoho CRM
Pandas +
Zoom
Pandas +
Zuora

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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 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 our data connectors, 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.