Start analyzing your Upload Data data with Jupyter

Integrating Upload Data and Jupyter has never been easier. Try Panoply for Free
Store and sync your data from over 80 sources so it's always ready for action

Panoply in 30 seconds

Watch how easy it is to connect to your data. It only takes a few minutes to sync your data into Panoply so that it’s available to all your teammates and all your tools.

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collect-data

All your data in one place

With over 80 data source connections, you can gather all your business data in one place in minutes. You’ll never have to worry about silos separating your CRM, database, advertising, analytics, or other business data.

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automate-data

Automated data pipeline

Seamlessly scale from gigabytes to terabytes without worrying about performance or maintenance. Panoply combines a data-warehouse-as-a-service with integrated ETL pipelines in a simple management console that requires no engineering experience.

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Analytics in action

With Panoply, your data has the power to transform your business. Panoply prepares your data into easy-to-analyze tables and connects to all popular BI tools and analytical notebooks. From the executives to the analysts, everyone will have the most up-to-date data and the insights they need to drive your business forward.

Browse BI Tool Integrations

Integrate with Upload Data in minutes

Panoply provides out of the box integration with dozens of popular data sources, allowing you to query and analyze your data instantly without requiring thousands of lines of custom code. While Panoply works with many popular storage and database solutions, including Amazon S3, MySQL, and Postgres, Panoply is also programmed to allow uploads of your own data files.

Many different types of files and data technologies can be uploaded directly to Panoply, including:

  • .csv
  • JSON
  • .accda
  • SFTP
  • .mdb (for legacy data).

Panoply’s machine learning and NLP system models automate the data management process so that no ETL process is necessary. For custom data uploads, Panoply has several SDKs that reduce development time substantially.

Once the data is uploaded, it is instantly available for analyses and can be combined with all other data sources. Fast and simple, Panoply makes it easier to manage your data without a sizeable data warehousing infrastructure.

Learn more:
Upload Data Data Warehousing
Upload Data Business Intelligence

See all Integrations

Other integrations with Upload Data

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Chartio
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Tableau
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Power BI
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Looker
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Mode Analytics
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Cumul.io
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Metabase
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Redash
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Google Data Studio
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Apache Superset
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Amazon QuickSight
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Domo
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Grafana
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Microsoft Excel
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Qlik
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Alteryx
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Apache Zeppelin
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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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JackDB
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Jupyter
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Klipfolio
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KNIME
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Magento BI
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MicroStrategy
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Pentaho
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Plotly
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PopSQL
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Python
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R
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SeekWell
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Shiny
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ThoughtSpot
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TIBCO Spotfire X
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Trevor.io
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Trifacta
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Yellowfin
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Zoho Analytics
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Alooma
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Amazon DynamoDB
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Amazon S3
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AppsFlyer
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Asana
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Attunity
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BigQuery
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Bing Ads
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Blendo
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CSV
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Delighted
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Elasticsearch
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etleap
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Facebook Ads
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Facebook Pages
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Flydata
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GitHub
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Google AdSense
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Google Ads
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Google Analytics
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Google Cloud Datastore
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Google Cloud Storage
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Google Analytics Ecommerce
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Google Search Console
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Google Sheets
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HubSpot
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Informatica PowerCenter
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Instagram
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Intercom
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Jaspersoft
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JSON
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LinkedIn Ads
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MailChimp
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Marketo
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Matillion
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Microsoft Azure SQL Data Warehouse
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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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Rivery
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Salesforce
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Segment
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Shopify
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Skyvia
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Slamdata
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SnapLogic
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Striim
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Stripe
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Sybase
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Talend
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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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Typeform
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Wordpress
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Xero
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Xplenty
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Zendesk
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Zoho CRM

Integrate with Jupyter in minutes

With open source Jupyter Notebook, programmers create and share interactive code, visual graphics, and text. This BI tool supports script in over 40 languages. It integrates to large data platforms like Apache Spark from Python, R and Scala. You can share Jupyter Notebook work through email, Dropbox, GitHub or the Jupyter Notebook Viewer. As with any data operations, you need an ETL to extract, transform and output your Jupyter Notebook code work. Panoply’s Jupyter Notebook integration makes the ETL process easy and seamless. This fully automated pipeline manages the entire ETL workflow on the cloud in real time. With Panoply, your data is continuously uploaded, cleaned and streamed to the client side. So the output you share is always the most relevant and up to date.

Learn more:
Documentation

See all Integrations

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Salesforce
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HubSpot
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PostgreSQL
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MySQL
Jupyter +
MongoDB
Jupyter +
Amazon S3
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Facebook Ads
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Google Ads
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Google Analytics
Jupyter +
Zendesk
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Shopify
Jupyter +
Twitter
Jupyter +
JSON
Jupyter +
Google Sheets
Jupyter +
Microsoft Azure SQL Data Warehouse
Jupyter +
Blendo
Jupyter +
BigQuery
Jupyter +
Google Search Console
Jupyter +
Stripe
Jupyter +
Xero
Jupyter +
Google Cloud Datastore
Jupyter +
Instagram
Jupyter +
Segment
Jupyter +
CSV
Jupyter +
LinkedIn Ads
Jupyter +
Twitter Ads
Jupyter +
Marketo
Jupyter +
Asana
Jupyter +
Intercom
Jupyter +
Zoho CRM
Jupyter +
Upload Data
Jupyter +
Typeform
Jupyter +
MailChimp
Jupyter +
Google Analytics Ecommerce
Jupyter +
Google Cloud Storage
Jupyter +
Google AdSense
Jupyter +
Microsoft SQL Server
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Wordpress
Jupyter +
Facebook Pages
Jupyter +
Pardot
Jupyter +
Elasticsearch
Jupyter +
Redshift
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Delighted
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Bing Ads
Jupyter +
AppsFlyer
Jupyter +
Amazon DynamoDB
Jupyter +
Twilio
Jupyter +
GitHub
Jupyter +
Attunity
Jupyter +
Jaspersoft
Jupyter +
Informatica PowerCenter
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Flydata
Jupyter +
Matillion
Jupyter +
Rivery
Jupyter +
Skyvia
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Slamdata
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SnapLogic
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Striim
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Sybase
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Talend
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Tray.io
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Xplenty
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etleap
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Alooma
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AdRoll
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AfterShip
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Amazon Cloudfront
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Amazon Kinesis Firehose
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Apple Search Ads
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Autopilot
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Azure Blob Storage
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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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Contact Pigeon
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Contentful
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Crashlytics
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Criteo
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Customer.io
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Desk
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Drip
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Dropbox
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Eloqua
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Enchant
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Fivetran
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FormKeep
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Freshdesk
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Front
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GitLab
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Google Cloud SQL Postgres
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Google Drive
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Google Cloud SQL MySQL
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MariaDB
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Mavenlink
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Pinterest
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Sailthru
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Salesforce IQ
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Selligent
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SendGrid
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Sendwithus
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SFTP
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Shippo
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Singer
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Snowplow
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Sparkpost
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Spree Commerce
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Stitch
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Taboola
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Webhooks
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Birst
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CARTO
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Chartio
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Cumul.io
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Databricks
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Domo
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GoodData
Jupyter +
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Jupyter +
Grafana
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Jupyter +
IBM Cognos
Jupyter +
JackDB
Jupyter +
Klipfolio
Jupyter +
KNIME
Jupyter +
Looker
Jupyter +
Magento BI
Jupyter +
Metabase
Jupyter +
Microsoft Excel
Jupyter +
MicroStrategy
Jupyter +
Mode Analytics
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Pentaho
Jupyter +
Plotly
Jupyter +
PopSQL
Jupyter +
Power BI
Jupyter +
Python
Jupyter +
Qlik
Jupyter +
R
Jupyter +
Redash
Jupyter +
SeekWell
Jupyter +
Shiny
Jupyter +
Tableau
Jupyter +
ThoughtSpot
Jupyter +
TIBCO Spotfire X
Jupyter +
Trevor.io
Jupyter +
Trifacta
Jupyter +
Yellowfin
Jupyter +
Zoho Analytics

Start Analyzing your Data for Free

Panoply will store and sync your data for free for 14 days

Try Panoply Free Request Demo

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Common Questions

How do I connect Jupyter to my Upload Data data?
To start analyzing your Upload Data data in Jupyter, you’ll first create a connection to Panoply. Panoply stores a replica of your Upload Data data and syncs it so it’s always up-to-date and ready for analysis. You can connect Jupyter to your Upload Data data in Panoply via an ODBC connection.
What data can I integrate with Jupyter?
Panoply allows you to integrate Jupyter with over 80 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 unlimited access to over 80 data integrations, 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.