Analyze your BigQuery data in Jupyter

Getting your data from BigQuery 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 BigQuery 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 BigQuery without complicated code.

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

See the BigQuery data Panoply collects

Connect to Jupyter and start analyzing in minutes.

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Get started

for free

Free 21-Day Proof of Value

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.
Try Panoply Free
Code-free data pipeline
Easily connect BigQuery 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 Jupyter with fresh data so your whole team can discover insights that drive your business forward.
See all BI tool integrations

Integrate with BigQuery in minutes

BigQuery allows companies to perform analytics on very large read-only data sets stored within the Google Cloud. Being able to seamlessly access BigQuery data will empower Panoply customers to take this data, combine it with other data sources, and be able to query all the data in one place, which is crucial for data mining. BigQuery’s integration with Panoply lets you not only ingest any data source into one automated cloud data warehouse, but you can also analyze it with any visualization tool you need to get lightning fast insights.

Learn more:
Documentation
BigQuery Data Warehousing
BigQuery Business Intelligence

See All Connectors

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Panintelligence
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Metabase
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Looker Studio
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Redash
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Apache Superset
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SeekWell
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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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Draxlr
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Apache Zeppelin
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Birst
BigQuery +
CARTO
BigQuery +
Databricks
BigQuery +
GoodData
BigQuery +
Holistics
BigQuery +
IBM Cognos
BigQuery +
Jupyter
BigQuery +
Klipfolio
BigQuery +
KNIME
BigQuery +
MicroStrategy
BigQuery +
Pentaho
BigQuery +
Plotly
BigQuery +
PopSQL
BigQuery +
Julia
BigQuery +
Pandas
BigQuery +
Python
BigQuery +
SQL
BigQuery +
R
BigQuery +
Shiny
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ThoughtSpot
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TIBCO Spotfire X
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Yellowfin
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Zoho Analytics
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Amazon DynamoDB
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Amazon S3
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AppsFlyer
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Asana
BigQuery +
BigCommerce
BigQuery +
Bing Ads
BigQuery +
CSV
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Delighted
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Elasticsearch
BigQuery +
Facebook Ads
BigQuery +
Facebook Pages
BigQuery +
Facebook Posts
BigQuery +
Google Ads
BigQuery +
Google Analytics
BigQuery +
Google Cloud Storage
BigQuery +
Google Drive
BigQuery +
Google Search Console
BigQuery +
Google Sheets
BigQuery +
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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Klaviyo
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LinkedIn Ads
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MailChimp
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Microsoft Excel
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Microsoft OneDrive
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Microsoft SQL Server
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MongoDB
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MySQL
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NetSuite
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Pardot
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PostgreSQL
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Quickbooks
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Redshift
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Salesforce
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SFTP
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Shopify
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Square
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Stripe
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Twilio
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Twitter Ads
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Twitter
BigQuery +
Upload Data
BigQuery +
WooCommerce
BigQuery +
Wordpress
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Xero
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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 Connectors

Other connectors with Jupyter

Jupyter +
Salesforce
Jupyter +
HubSpot
Jupyter +
PostgreSQL
Jupyter +
MySQL
Jupyter +
MongoDB
Jupyter +
Amazon S3
Jupyter +
Facebook Ads
Jupyter +
Google Ads
Jupyter +
Google Analytics
Jupyter +
Shopify
Jupyter +
Zendesk
Jupyter +
Google Sheets
Jupyter +
JSON
Jupyter +
Microsoft Excel
Jupyter +
Twitter
Jupyter +
BigQuery
Jupyter +
CSV
Jupyter +
Google Search Console
Jupyter +
Instagram for Business
Jupyter +
LinkedIn Ads
Jupyter +
Stripe
Jupyter +
Xero
Jupyter +
BigCommerce
Jupyter +
Twitter Ads
Jupyter +
WooCommerce
Jupyter +
Asana
Jupyter +
Intercom
Jupyter +
Amazon DynamoDB
Jupyter +
AppsFlyer
Jupyter +
Bing Ads
Jupyter +
Delighted
Jupyter +
Elasticsearch
Jupyter +
Facebook Pages
Jupyter +
Facebook Posts
Jupyter +
Google Cloud Storage
Jupyter +
MailChimp
Jupyter +
Microsoft SQL Server
Jupyter +
Pardot
Jupyter +
Redshift
Jupyter +
Twilio
Jupyter +
Upload Data
Jupyter +
Wordpress
Jupyter +
Google Drive
Jupyter +
Jira
Jupyter +
Klaviyo
Jupyter +
Microsoft OneDrive
Jupyter +
NetSuite
Jupyter +
Quickbooks
Jupyter +
SFTP
Jupyter +
Square
Jupyter +
AdRoll
Jupyter +
AfterShip
Jupyter +
Amazon Ads
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Amazon Aurora PostgreSQL
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Amazon Cloudfront
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Amazon Kinesis Firehose
Jupyter +
Amazon Marketplace
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Amazon Seller
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Apple App Store
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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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Campaign Monitor
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Chargebee
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Clari
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Close
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Contentful
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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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EasyPayDirect
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Eloqua
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Enchant
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FormKeep
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Freshdesk
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Front
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GitHub
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GitLab
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Google Cloud SQL Postgres
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Google Analytics Ecommerce
Jupyter +
Google Cloud SQL MySQL
Jupyter +
Grin
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Harvest Forecast
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Harvest
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Help Scout
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Heroku Postgres
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IBM DB2
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Invoiced
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Iterable
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Kandji
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LeafLink
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MariaDB
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Marketo
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Mavenlink
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Maverick Payments
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Maxio
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Optimizely
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Oracle Database
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Particle
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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.