Analyze your Microsoft SQL Server data in Pandas

Getting your data from Microsoft SQL Server to Pandas 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 Pandas 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 Pandas 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 Pandas 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 Pandas 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 Pandas in minutes

You love the power, flexibility, and expressiveness that Pandas’ data frames provide, but the rest of your team can’t live without a user-friendly BI tool. Supporting both is no problem with Panoply. We make it easy to sync data from 30+ data sources to multiple analytics tools, no code required. 

Along with eliminating tedious setup and maintenance, Panoply’s built-in storage makes your queries faster, your pipelines more robust, and ensures that all your reporting is based on a single source of truth. Don’t choose between Pandas and the BI tool your coworkers rely on—power both with Panoply.

Learn more:
Documentation

See All Connectors

Other connectors with Pandas

Pandas +
Salesforce
Pandas +
HubSpot
Pandas +
PostgreSQL
Pandas +
MySQL
Pandas +
MongoDB
Pandas +
Amazon S3
Pandas +
Facebook Ads
Pandas +
Google Ads
Pandas +
Google Analytics
Pandas +
Shopify
Pandas +
Zendesk
Pandas +
Google Sheets
Pandas +
JSON
Pandas +
Microsoft Excel
Pandas +
Twitter
Pandas +
BigQuery
Pandas +
CSV
Pandas +
Google Search Console
Pandas +
Instagram for Business
Pandas +
LinkedIn Ads
Pandas +
Stripe
Pandas +
Xero
Pandas +
BigCommerce
Pandas +
Twitter Ads
Pandas +
WooCommerce
Pandas +
Asana
Pandas +
Intercom
Pandas +
Amazon DynamoDB
Pandas +
AppsFlyer
Pandas +
Bing Ads
Pandas +
Delighted
Pandas +
Elasticsearch
Pandas +
Facebook Pages
Pandas +
Facebook Posts
Pandas +
Google Cloud Storage
Pandas +
MailChimp
Pandas +
Microsoft SQL Server
Pandas +
Pardot
Pandas +
Redshift
Pandas +
Twilio
Pandas +
Upload Data
Pandas +
Wordpress
Pandas +
Google Drive
Pandas +
Jira
Pandas +
Klaviyo
Pandas +
Microsoft OneDrive
Pandas +
NetSuite
Pandas +
Quickbooks
Pandas +
SFTP
Pandas +
Square
Pandas +
AdRoll
Pandas +
AfterShip
Pandas +
Amazon Ads
Pandas +
Amazon Aurora PostgreSQL
Pandas +
Amazon Cloudfront
Pandas +
Amazon Kinesis Firehose
Pandas +
Amazon Marketplace
Pandas +
Amazon Seller
Pandas +
Apple App Store
Pandas +
Apple Search Ads
Pandas +
Autopilot
Pandas +
Azure Blob Storage
Pandas +
Braintree Payments
Pandas +
Branch
Pandas +
BranchTrack
Pandas +
Campaign Monitor
Pandas +
CaptivateIQ
Pandas +
Chargebee
Pandas +
Clari
Pandas +
Close
Pandas +
Codat
Pandas +
Contact Pigeon
Pandas +
Contentful
Pandas +
Crashlytics
Pandas +
Criteo
Pandas +
Customer.io
Pandas +
Desk
Pandas +
Drip
Pandas +
Dropbox
Pandas +
EasyPayDirect
Pandas +
Eloqua
Pandas +
Enchant
Pandas +
FormKeep
Pandas +
Freshdesk
Pandas +
Front
Pandas +
GitHub
Pandas +
GitLab
Pandas +
Google Cloud SQL Postgres
Pandas +
Google Analytics Ecommerce
Pandas +
Google Cloud SQL MySQL
Pandas +
Grin
Pandas +
Harvest Forecast
Pandas +
Harvest
Pandas +
Help Scout
Pandas +
Heroku Postgres
Pandas +
IBM DB2
Pandas +
Invoiced
Pandas +
Iterable
Pandas +
Kandji
Pandas +
LeafLink
Pandas +
Lever
Pandas +
Magento
Pandas +
Mailjet
Pandas +
MariaDB
Pandas +
Marketo
Pandas +
Mavenlink
Pandas +
Maverick Payments
Pandas +
Maxio
Pandas +
Optimizely
Pandas +
Oracle Database
Pandas +
Particle
Pandas +
Payline
Pandas +
PayPal
Pandas +
Pinterest
Pandas +
Pipedrive
Pandas +
Pivotal Tracker
Pandas +
QuickBase
Pandas +
Rakuten
Pandas +
Recharge
Pandas +
Recurly
Pandas +
Reddit
Pandas +
Referral SaasQuatch
Pandas +
RingCentral
Pandas +
Sailthru
Pandas +
Salesforce Marketing Cloud
Pandas +
Selligent
Pandas +
SendGrid
Pandas +
Sendwithus
Pandas +
SentinelOne
Pandas +
Shippo
Pandas +
Sparkpost
Pandas +
SphereWMS
Pandas +
Spree Commerce
Pandas +
Taboola
Pandas +
Teachable
Pandas +
TikTok
Pandas +
Tray.io
Pandas +
Trello
Pandas +
Typeform
Pandas +
Urban Airship
Pandas +
Vero
Pandas +
Webhooks
Pandas +
WeInfuse
Pandas +
Zapier
Pandas +
Zendesk Chat
Pandas +
Zendesk Sell
Pandas +
Zoho CRM
Pandas +
Zoom
Pandas +
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.