Getting your data from Microsoft SQL Server to Birst 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 Birst 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.
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.
Microsoft SQL Server Data Warehousing
Microsoft SQL Server Business Intelligence
With Birst’s user-friendly BI tools, enterprise users can get analytics on their data with one click. Big data is stored and processed on the cloud and shareable on multiple devices. Even the most complex business processes can be easily programmed into Birst for fast access. This platform’s built-in machine learning-based advanced algorithms and agile architecture meet the growing needs of enterprise business—speed, monetization, security and managed data sharing. Panoply with Birst saves you time and effort by continuously uploading, sorting and simplifying your data. This all-in-one ETL pipeline streams your processed, most relevant data in real time to your storage and output. Panoply is the only fully integrated cloud service that combines an automated ETL with a data warehouse.
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