The transformation of provider lifecycle management through AI and automation represents more than just technological ...

Enterprise data management (EDM) is the framework organizations use to manage data across systems, teams and workflows. It ...

Big Data Data Management Vendors. Businesses are struggling with the rapidly increasing volume, speed and variety of information being generated today – what's come to be known as big data.

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 ...

Value proposition for potential buyers: The Redis In-Memory Database Management System is a second-generation core open source system designed for speed and efficiency.Redis Labs, No. 1 in the ...

Composable data systems — in addition to separate compute and data layers — can also have a separate computing storage layer, which enables scalability, according to Patterson.

DuckDB is an open-source OLAP database for analytical data management that operates as an in-process database, avoiding data transfer overhead. Leveraging vectorized query processing and Morsel ...

A graph database is a dynamic database management system uniquely structured to manage complex and interconnected data. Unlike traditional databases organized in rows and columns, graph databases ...

Database performance management is the combination of all three of these tasks. It can be achieved only by using a proactive performance plan. With a proper plan, correction of performance problems ...

Microsoft SQL Server. This is an industry-standard database management system that began in 1989 with the Microsoft SQL Server 1.0, a 16-bit server for the IBM OS/2 operating system.