Analyze your Microsoft SQL Server data in Python

Getting your data from Microsoft SQL Server 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 Microsoft SQL Server 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 Microsoft SQL Server without complicated code.

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

See the Microsoft SQL Server 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 Microsoft SQL Server 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 Microsoft SQL Server in minutes

Building a data warehouse in SQL Server can be cumbersome and time intensive. Panoply simplifies the process with its MS SQL Server integration. Seamless and simple, Panoply provides you with a cloud based data warehouse for your RDBMS data, storing it with other data sources and making it instantly available for analysis.

Panoply’s SQL Server integration makes it easy for your data scientists and analysts to explore data, generate custom reports and dashboards, and manage their data from end to end, all without having to write or maintain scripts. Rather than building a data warehouse in SQL server, let Panoply help your data team complete the work in less time.

Learn more:
Documentation
Microsoft SQL Server Data Warehousing
Microsoft SQL Server Business Intelligence

See All Connectors

Other connectors with Microsoft SQL Server

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

Try It Now

Start syncing your data to now. Free 21-Day Proof of Value.

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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.