Analyze your BigQuery data in Python

Getting your data from BigQuery 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 BigQuery 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 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 Python 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 Python 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 Python 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

Other connectors with BigQuery

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Looker
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Luzmo
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Mode Analytics
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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
BigQuery +
SeekWell
BigQuery +
Domo
BigQuery +
Grafana
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Qlik
BigQuery +
Trevor.io
BigQuery +
Draxlr
BigQuery +
Apache Zeppelin
BigQuery +
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
BigQuery +
ThoughtSpot
BigQuery +
TIBCO Spotfire X
BigQuery +
Yellowfin
BigQuery +
Zoho Analytics
BigQuery +
Amazon DynamoDB
BigQuery +
Amazon S3
BigQuery +
AppsFlyer
BigQuery +
Asana
BigQuery +
BigCommerce
BigQuery +
Bing Ads
BigQuery +
CSV
BigQuery +
Delighted
BigQuery +
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
BigQuery +
Instagram for Business
BigQuery +
Intercom
BigQuery +
Jira
BigQuery +
JSON
BigQuery +
Klaviyo
BigQuery +
LinkedIn Ads
BigQuery +
MailChimp
BigQuery +
Microsoft Excel
BigQuery +
Microsoft OneDrive
BigQuery +
Microsoft SQL Server
BigQuery +
MongoDB
BigQuery +
MySQL
BigQuery +
NetSuite
BigQuery +
Pardot
BigQuery +
PostgreSQL
BigQuery +
Quickbooks
BigQuery +
Redshift
BigQuery +
Salesforce
BigQuery +
SFTP
BigQuery +
Shopify
BigQuery +
Square
BigQuery +
Stripe
BigQuery +
Twilio
BigQuery +
Twitter Ads
BigQuery +
Twitter
BigQuery +
Upload Data
BigQuery +
WooCommerce
BigQuery +
Wordpress
BigQuery +
Xero
BigQuery +
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

See All 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 +
WeInfuse
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 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.