Seamlessly Sync Your Microsoft SQL Server Data to Python

Integrating Python and Microsoft SQL Server 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 Microsoft SQL Server 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 Microsoft SQL Server 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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Power BI
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R
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Trifacta
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Yellowfin
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Zoho Analytics

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 Integrations

Other integrations with Microsoft SQL Server

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

Try It Now

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

Try Panoply Free Request Demo

Free 14 day trial. No credit card required.

Frequently Asked Questions

How do I connect Python to my Microsoft SQL Server data?
To analyze your Microsoft SQL Server data in Python, you’ll first create a connection to Panoply. Panoply stores a replica of your Microsoft SQL Server data and syncs it so it’s always up-to-date and ready for analysis. You can connect Python to your Microsoft SQL Server 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.