Still relying on SQL Server 2016? Microsoft's latest guidance outlines the options available as security risks start piling ...

Database Management System (DBMS) software acts as an interface between an end user and a database and is designed to allow users to create databases as well as store, manipulate and manage data in an ...

Ahead of Microsoft Build (and a possible SQL Server announcement), let's break down what we know and speculate about what we don't. One topic that has come up in several conversations with customers ...

At Microsoft's Ignite digital event this week, the company is announcing the private preview of SQL Server 2022, the next version of its three-decades-old relational database management system (RDBMS) ...

Relational SQL databases, which have been around since the 1980s, historically ran on mainframes or single servers—that’s all we had. If you wanted the database to handle more data and run faster, you ...

Your Microsoft SQL Server databases keep growing, but your storage hardware - and budget - aren't. You need a powerful, easy to use backup and recovery solution for SQL Server that gets the maximum, ...

How effective are free and open source data bases? For answers, we reviewed 6:: Microsoft SQL Server Express, PostgreSQL, Oracle's MySQL, MariaDB, Apache Derby and Firebird SQL. Free or open source ...

Tim Kridel is an independent analyst and freelance writer with years of experience in covering technology, telecommunications and more. Just how much does the Department of Defense rely on Microsoft ...

The structured query language is a powerful tool for connecting to many database systems that store data in tables organized into rows and columns. It's often used on the backend of business websites ...

While approaches and capabilities differ, all of these databases allow you to build machine learning models right where your data resides. In my October 2022 article, “How to choose a cloud machine ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...