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.
How it works
Automatically sync and store the data you want with table-level control.
See the Microsoft SQL Server data Panoply collects
Query-ready data with just a few clicks
Code-free data pipeline
Fuel your 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
Other connectors with Microsoft SQL Server
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
Other connectors with Python
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