Relational Database Management System (RDBMS) is a database where all data is represented in sequences that are in turn grouped into relationships.
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Database Performance Analyzer is the one tool that all DBAs, Developers and DBA Managers can use, collaborating to save DBA & Developer time, and measurably improve database & application performance. The one database performance monitoring, analysis and tuning solution designed specifically to prevent and solve the toughest performance problems. Learn more about Database Performance Analyzer SolarWinds' DPA offers comprehensive performance monitoring, analysis & tuning for SQL Server, Oracle, DB2 & Sybase. Learn more about Database Performance Analyzer
A relational database management system developed by Microsoft as a database server, designed to store and retrieve different requests. Choose your preferred language and platform and build modern applications creatively. Take advantage of breakthrough performance and availability while turning raw data into meaningful reports that can be delivered to any device or platform. Database and analysis offering for rapidly delivering the next generation of scalable e-commerce & line-of-business solutions.
Free open source post-relational database system that runs on all major operating systems. PostgreSQL's 25 year development history provides a huge range of features for Developers and DBAs, delivered in a robust software server used world-wide. PostgreSQL is rated in the top 5 databases by DBEngine, above most commercial systems. With millions of deployments in embedded systems, major cloud providers and major on-premise installs, PostgreSQL is the most popular choice for new app development. Free open source post-relational database system. Leading choice by Developers and DBAs world-wide. Robust, secure, high performance.
Amazon Relational Database Service simplifies scaling and managing of a relational database. It supports six types of database engines. Web service that simplifies scaling and managing of a relational database. Supports six types of database engines.
Open source database engine used by applications due to its compact size, cross platform stability and serverless functionality. Open source database engine used by applications due to its compact size, cross platform stability and serverless functionality.
DB2 Enterprise for Linux, UNIX, and Windows is the ideal data server for the most demanding workloads. New XML support is designed to help firms minimize the time and effort it takes to persist and use their XML data reducing development costs and improving business agility. Multi-user object-relational database for complex configurations and large database needs.
CUBRID is a comprehensive open-source database management system (DBMS) highly optimized for Web Applications, especially when complex business services process large amount of data and generate huge concurrent requests. By providing unique optimized features, CUBRID enables to process much more parallel requests at much less response time. With CUBRID, companies will benefit from superior performance and stability, scalability, and high availability required by organization. An open-source DBMS optimized for Web services. Cubrid assures high performance, stability, scalability, and high availability.
Cross-platform database management system with multi-versioning engine and large multimedia object support. ISO SQL compliant. Cross-platform database management system with multi-versioning engine and large multimedia object support. ISO SQL compliant.
Relational database server that offers backup of live databases, datastore encryption, replication/mirroring capabilities, and more. Relational database server that offers backup of live databases, datastore encryption, replication/mirroring capabilities, and more.
Column-store database management system designed for use by researchers and businesses in online analytical processing, GIS, data mining, and more. Column-store database management system to help researchers and businesses with online analytical processing, data mining, and more.