Seamlessly Sync Your BigQuery Data to Python

Integrating Python and BigQuery has never been easier. Try Panoply for Free
Easily integrate data from over 30+ sources so it’s always ready for action.

Panoply in 30 seconds

See how easy it is to connect your data using Panoply. In just a few minutes, you can set up a data warehouse and start syncing your BigQuery data.

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Fuel your analytics

Panoply automatically organizes data into query-ready tables and connects to popular BI tools like Python as well as analytical notebooks. From executives to analysts, your entire team will have access to the most up-to-date data and insights they need to drive your business forward.

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Code-free data pipeline

Seamlessly sync BigQuery and all your other data sources with Panoply’s built-in ETL. Set up a pipeline in minutes with our simple point-and-click interface, then we’ll handle the ongoing maintenance so you can focus on building value, not fixing leaky plumbing.

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All your data in one place

Easily sync and store over 30+ data sources. Break down the silos separating your data to create a single source of truth your whole company can rely on.

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Integrate with Python in minutes

Data scientists and analysts can now quickly ingest data into their python environment and write scripts to facilitate analytics and machine learning. The Panoply Smart Data Warehouse allows you to easily access data from a variety of sources in one central hub.

Panoply's Python integration reduces your analysis time, helping you to find insights that improve your business. With this data you’ll be building custom reports and dashboards in no time. Connect Python to over 100 data connectors without configuring any APIs or writing a single line of code. Panoply’s seamless Python integration is a great solution to get the most of your data without requiring a complicated data infrastructure.

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Other integrations with Python

Python +
Salesforce
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HubSpot
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MySQL
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MongoDB
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Amazon S3
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Facebook Ads
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Google Ads
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Zendesk
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Shopify
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Microsoft Azure SQL Data Warehouse
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Microsoft Excel
Python +
Stitch
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Twitter
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Fivetran
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JSON
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Google Sheets
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LinkedIn Ads
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Google Cloud Datastore
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CSV
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Google Search Console
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Segment
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Twitter Ads
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Intercom
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Microsoft SQL Server
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etleap
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AdRoll
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AfterShip
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Amazon Aurora PostgreSQL
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Amazon Cloudfront
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BranchTrack
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Drip
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optimizely
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Pipedrive
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Quickbooks
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Recharge
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Recurly
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Sailthru
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Salesforce IQ
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Salesforce Marketing Cloud
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Selligent
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SendGrid
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SFTP
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Shippo
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Sparkpost
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Spree Commerce
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Square
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Urban Airship
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Xero
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Zendesk Chat
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Zendesk Sell
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Zoho CRM
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Google Data Studio
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Grafana
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JackDB
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Klipfolio
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KNIME
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Metabase
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MicroStrategy
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Mode Analytics
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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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Qlik
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R
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Redash
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SeekWell
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Shiny
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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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Trifacta
Python +
Yellowfin
Python +
Zoho Analytics

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 Integrations

Other integrations with BigQuery

BigQuery +
Chartio
BigQuery +
Tableau
BigQuery +
Power BI
BigQuery +
Looker
BigQuery +
Mode Analytics
BigQuery +
Cumul.io
BigQuery +
Metabase
BigQuery +
Redash
BigQuery +
Google Data Studio
BigQuery +
SeekWell
BigQuery +
Apache Superset
BigQuery +
Grafana
BigQuery +
Trevor.io
BigQuery +
Qlik
BigQuery +
Amazon QuickSight
BigQuery +
Domo
BigQuery +
Alteryx
BigQuery +
Apache Zeppelin
BigQuery +
Birst
BigQuery +
CARTO
BigQuery +
Databricks
BigQuery +
GoodData
BigQuery +
Holistics
BigQuery +
IBM Cognos
BigQuery +
JackDB
BigQuery +
Jupyter
BigQuery +
Klipfolio
BigQuery +
KNIME
BigQuery +
MicroStrategy
BigQuery +
Pentaho
BigQuery +
Plotly
BigQuery +
PopSQL
BigQuery +
Python
BigQuery +
R
BigQuery +
Shiny
BigQuery +
ThoughtSpot
BigQuery +
TIBCO Spotfire X
BigQuery +
Trifacta
BigQuery +
Yellowfin
BigQuery +
Zoho Analytics
BigQuery +
Alooma
BigQuery +
Amazon DynamoDB
BigQuery +
Amazon S3
BigQuery +
AppsFlyer
BigQuery +
Asana
BigQuery +
Attunity
BigQuery +
Bing Ads
BigQuery +
CSV
BigQuery +
Delighted
BigQuery +
Elasticsearch
BigQuery +
etleap
BigQuery +
Facebook Ads
BigQuery +
Facebook Pages
BigQuery +
Facebook Posts
BigQuery +
Fivetran
BigQuery +
Flydata
BigQuery +
GitHub
BigQuery +
Google Ads
BigQuery +
Google Analytics
BigQuery +
Google Cloud Datastore
BigQuery +
Google Cloud Storage
BigQuery +
Google Drive
BigQuery +
Google Analytics Ecommerce
BigQuery +
Google Search Console
BigQuery +
Google Sheets
BigQuery +
HubSpot
BigQuery +
Informatica PowerCenter
BigQuery +
Instagram for Business
BigQuery +
Intercom
BigQuery +
Jaspersoft
BigQuery +
JSON
BigQuery +
LinkedIn Ads
BigQuery +
Magento
BigQuery +
MailChimp
BigQuery +
Matillion
BigQuery +
Microsoft Azure SQL Data Warehouse
BigQuery +
Microsoft Excel
BigQuery +
Microsoft SQL Server
BigQuery +
MongoDB
BigQuery +
MySQL
BigQuery +
Pardot
BigQuery +
PostgreSQL
BigQuery +
Redshift
BigQuery +
Rivery
BigQuery +
Salesforce
BigQuery +
Segment
BigQuery +
Shopify
BigQuery +
Singer
BigQuery +
Skyvia
BigQuery +
Slamdata
BigQuery +
SnapLogic
BigQuery +
Snowplow
BigQuery +
Stitch
BigQuery +
Striim
BigQuery +
Stripe
BigQuery +
Sybase
BigQuery +
Talend
BigQuery +
Tray.io
BigQuery +
Twilio
BigQuery +
Twitter Ads
BigQuery +
Twitter
BigQuery +
Upload Data
BigQuery +
Woocommerce
BigQuery +
Wordpress
BigQuery +
Xplenty
BigQuery +
Zapier
BigQuery +
Zendesk

Try It Now

Start syncing your BigQuery data to Python now. Get a full Panoply trial free for 14 days.

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Free 14 day trial. No credit card required.

Frequently Asked Questions

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