SQL server (or MS SQL) is a top of the line database geared for the cloud

Databases SQL Server
SQL server (or MS SQL) is a top of the line database geared for the cloud
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If you started your computing education with Microsoft Office, chances are the first database you used was Microsoft Access. It's a simple database app that makes it simple to build your own lite data powered apps, with a form to enter data and simple queries to find data in your database. And so, unsurprisingly, it's the first tool many small businesses turn to when they need to build a new small app for their team.Yet it's far from the only—or most important—database tool Microsoft builds. Three years prior to Microsoft's original launch of Access in 1992, it shipped the first version of Microsoft SQL Server for OS/2, Microsoft's ill-fated professional operating system collaboration with IBM. OS/2 disappeared, replaced by Microsoft in 1993 with Windows NT—the core for all modern versions of Windows. But SQL Server lived on, becoming one of Microsoft's most importing enterprise offerings.Read MoreMicrosoft SQL Server today is at home on Windows and Linux, or on macOS via Docker, so you can run it on a desktop or in a server with a free version for small projects and development. Or, thanks to Microsoft Azure, you can run SQL Server in the cloud, and pay for the data storage and server time you use. Need to manage a large amount of data both locally and in the cloud? SQL Server includes a hybrid storage option as well. You can run your core databases on your own servers, define how long data is considered active, and then let SQL Server automatically archive older data to Azure to free up space on your server. That'll keep your local database running fast, without needing to purchase additional hardware, while still letting you query all of your data with the same commands.In fact, that's one of SQL Server's core features. Using T-SQL (for Transact-SQL), SQL's core query language, you can query data across different databases. Say your core user data is on one server, your product info in another, and your historical sales data in Azure. SQL Server lets you query data from all of the servers together, optimizing the query automatically to use the least resources possible. And, it keeps your data encrypted the entire way, with encryption keys stored on your local machine.You can also interact with your data more directly, in SQL Server Management Studio, a Windows app designed to easily query and explore your data tables. You can write SQL scripts, re-use them across your different databases, and explore the data tables in a spreadsheet-like interface. Then, using the companion Report Builder app, you can turn your data into reports that can then be displayed in a web viewer with SQL Server Reporting Services. It's a simple way to turn your data into something anyone on your team can use to quickly see how your company is performing.For the most advanced data workloads, or for simpler internal reporting, Microsoft SQL Server is designed to simplify your data management. It can store your data wherever you want, pull it all together when you need it, and turn it into reports in a few clicks, so you can focus on taking action on your data instead of trying to find it.Microsoft SQL Server Resources:Get started quickly with Microsoft's SQL Server Getting Started guide and tutorials.Try out SQL Server and learn how to use it with live SQL Server Virtual Labs.Learn everything you need about SQL Server with Microsoft's SQL Server documentation.Find out more about running SQL Server in the cloud with Azure SQL Database.

Integraciones

Check Connection
A test only check.
New Column
Triggered when you add a new column.
New Row
Adds a new row.
New Row (Custom Query)
Triggered when new rows are returned from a custom query that you provide.
New Table
Triggered when you add a new table.
New or Updated Row
Triggered when a new row is added or modified.
Update Row
Updates an existing row.
Find Row
Finds a row in a table via a lookup column.
Find Row via Custom Query
Finds a row in a table via a custom query you control.

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