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Azure SQL Database is built on the foundation of the SQL server database and therefore, kept in sync with the latest version [2] of it by using the common code base. Since the cloud version of the database technology strives to decouple it from the underlying computing infrastructure, it doesn't support some of the context specific T-SQL ...
December 2011 – Traffic manager, SQL Azure reporting, HPC scheduler. June 2012 – Websites, Virtual machines for Windows and Linux, Python SDK, new portal, locally redundant storage. April 2014 – Windows Azure renamed Microsoft Azure, [10] ARM Portal introduced at Build 2014. July 2014 – Azure Machine Learning public preview. [84]
Microsoft Service Management Automation or Microsoft SMA is a software component of Microsoft Azure that allows users to manage SQL databases on servers through an instanced Linux application. It is one of the software applications developed by Microsoft to address the emerging technologies within cloud computing. [1]
A cloud database is a database that typically runs on a cloud computing platform and access to the database is provided as-a-service. There are two common deployment models: users can run databases on the cloud independently, using a virtual machine image, or they can purchase access to a database service, maintained by a cloud database provider.
Azure DevOps Server, formerly known as Team Foundation Server (TFS) and Visual Studio Team System (VSTS), is a Microsoft product that provides version control (either with Team Foundation Version Control (TFVC) or Git), reporting, requirements management, project management (for both agile software development and waterfall teams), automated builds, testing and release management capabilities.
Azure Data Explorer is a distributed database running on a cluster of compute nodes in Microsoft Azure. It is based on relational database management systems (RDBMS) , supporting entities such as databases, tables , functions, and columns.
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It is designed to provide high availability, scalability, and low-latency access to data for modern applications. Unlike traditional relational databases, Cosmos DB is a NoSQL (meaning "Not only SQL", rather than "zero SQL") and vector database, [1] which means it can handle unstructured, semi-structured, structured, and vector data types. [2]
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