Seamlessly Sync Your Segment Data to Python

Integrating Segment and Python 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 Segment 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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automate-data

Code-free data pipeline

Seamlessly sync Segment 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 Segment in minutes

Finding the right balance between making your Analytics data accessible and maintaining control over your Segment account can be tricky. Panoply’s combination of ETL and data warehousing is an easy way to share data without giving everyone in the company the login. In just a few minutes, connect to Panoply to create a secure copy of your data that can be sent to your favorite business intelligence tool. With that pipeline in place, your data stays safe and your team can create the reports and dashboards they need.
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Other integrations with Segment

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

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
Python +
HubSpot
Python +
PostgreSQL
Python +
MySQL
Python +
MongoDB
Python +
Amazon S3
Python +
Facebook Ads
Python +
Google Ads
Python +
Google Analytics
Python +
Zendesk
Python +
Shopify
Python +
Microsoft Azure SQL Data Warehouse
Python +
Microsoft Excel
Python +
Stitch
Python +
Twitter
Python +
Fivetran
Python +
JSON
Python +
Google Sheets
Python +
BigQuery
Python +
LinkedIn Ads
Python +
Google Cloud Datastore
Python +
Instagram for Business
Python +
CSV
Python +
Singer
Python +
Google Search Console
Python +
Stripe
Python +
Segment
Python +
Twitter Ads
Python +
Woocommerce
Python +
Asana
Python +
Intercom
Python +
Delighted
Python +
Facebook Posts
Python +
Facebook Pages
Python +
MailChimp
Python +
Twilio
Python +
Elasticsearch
Python +
Upload Data
Python +
Microsoft SQL Server
Python +
Bing Ads
Python +
Wordpress
Python +
Pardot
Python +
Google Cloud Storage
Python +
Redshift
Python +
AppsFlyer
Python +
Amazon DynamoDB
Python +
Google Analytics Ecommerce
Python +
GitHub
Python +
Attunity
Python +
Flydata
Python +
Informatica PowerCenter
Python +
Jaspersoft
Python +
Matillion
Python +
Rivery
Python +
Skyvia
Python +
Slamdata
Python +
SnapLogic
Python +
Striim
Python +
Sybase
Python +
Talend
Python +
Tray.io
Python +
Xplenty
Python +
etleap
Python +
Snowplow
Python +
Google Drive
Python +
Magento
Python +
Zapier
Python +
Alooma
Python +
AdRoll
Python +
AfterShip
Python +
Amazon Aurora PostgreSQL
Python +
Amazon Cloudfront
Python +
Amazon Kinesis Firehose
Python +
Apple Search Ads
Python +
Autopilot
Python +
Azure Blob Storage
Python +
Braintree Payments
Python +
Branch
Python +
BranchTrack
Python +
Codat
Python +
Contact Pigeon
Python +
Contentful
Python +
Crashlytics
Python +
Criteo
Python +
Customer.io
Python +
Desk
Python +
Drip
Python +
Dropbox
Python +
Eloqua
Python +
Enchant
Python +
FormKeep
Python +
Freshdesk
Python +
Front
Python +
GitLab
Python +
Google Cloud SQL Postgres
Python +
Google Cloud SQL MySQL
Python +
Harvest
Python +
Help Scout
Python +
Heroku Postgres
Python +
IBM DB2
Python +
Iterable
Python +
Klaviyo
Python +
Mailjet
Python +
MariaDB
Python +
Marketo
Python +
Mavenlink
Python +
NetSuite
Python +
optimizely
Python +
Oracle Database
Python +
Particle
Python +
Pinterest
Python +
Pipedrive
Python +
Pivotal Tracker
Python +
QuickBase
Python +
Quickbooks
Python +
Recharge
Python +
Recurly
Python +
Referral SaasQuatch
Python +
Sailthru
Python +
Salesforce IQ
Python +
Salesforce Marketing Cloud
Python +
Selligent
Python +
SendGrid
Python +
Sendwithus
Python +
SFTP
Python +
Shippo
Python +
Sparkpost
Python +
Spree Commerce
Python +
Square
Python +
Taboola
Python +
Trello
Python +
Urban Airship
Python +
Vero
Python +
Webhooks
Python +
Xero
Python +
Zendesk Chat
Python +
Zendesk Sell
Python +
Zoho CRM
Python +
Zuora
Python +
Alteryx
Python +
Amazon QuickSight
Python +
Apache Superset
Python +
Apache Zeppelin
Python +
Birst
Python +
CARTO
Python +
Chartio
Python +
Cumul.io
Python +
Databricks
Python +
Domo
Python +
GoodData
Python +
Google Data Studio
Python +
Grafana
Python +
Holistics
Python +
IBM Cognos
Python +
JackDB
Python +
Jupyter
Python +
Klipfolio
Python +
KNIME
Python +
Looker
Python +
Metabase
Python +
MicroStrategy
Python +
Mode Analytics
Python +
Pentaho
Python +
Plotly
Python +
PopSQL
Python +
Power BI
Python +
Qlik
Python +
R
Python +
Redash
Python +
SeekWell
Python +
Shiny
Python +
Tableau
Python +
ThoughtSpot
Python +
TIBCO Spotfire X
Python +
Trevor.io
Python +
Trifacta
Python +
Yellowfin
Python +
Zoho Analytics

Try It Now

Start syncing your Segment 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 Segment data?
To analyze your Segment data in Python, you’ll first create a connection to Panoply. Panoply stores a replica of your Segment data and syncs it so it’s always up-to-date and ready for analysis. You can connect Python to your Segment data in Panoply via an ODBC connection.
What data can I integrate with Python?
Panoply allows you to integrate Python with 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 unlimited access to over 60 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.