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2. Microsoft Azure SQL Database - Wikipedia

   en.wikipedia.org/wiki/Microsoft_Azure_SQL_Database

   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 ...

3. Shard (database architecture) - Wikipedia

   en.wikipedia.org/wiki/Shard_(database_architecture)

   Horizontal partitioning splits one or more tables by row, usually within a single instance of a schema and a database server. It may offer an advantage by reducing index size (and thus search effort) provided that there is some obvious, robust, implicit way to identify in which partition a particular row will be found, without first needing to search the index, e.g., the classic example of the ...

4. Microsoft Azure - Wikipedia

   en.wikipedia.org/wiki/Microsoft_Azure

   Azure SQL Database works to create, scale, and extend applications into the cloud using Microsoft SQL Server technology. It also integrates with Active Directory, Microsoft System Center, and Hadoop. [27] Azure Synapse Analytics is a fully managed cloud data warehouse. [28] [29]

5. Connection pool - Wikipedia

   en.wikipedia.org/wiki/Connection_pool

   Azure SQL Database defines connection limits based on the selected tier, while Azure SQL Managed Instance enforces limits based on allocated resources, such as CPU, memory, or vCores. When connection pool configurations exceed these limits, issues such as rejected connections, throttling, or degraded performance can occur.

6. Cloud database - Wikipedia

   en.wikipedia.org/wiki/Cloud_database

   Users are given tools to create and manage database instances, and control users. Some cloud providers also offer tools to manage database structures and data. [3] Many cloud providers offer both relational (Amazon RDS, SQL Server) and NoSQL (MongoDB, Amazon DynamoDB) databases. [3] This is a type of software as a service (SaaS).

7. Microsoft SQL Server - Wikipedia

   en.wikipedia.org/wiki/Microsoft_SQL_Server

   Microsoft SQL Server (Structured Query Language) is a proprietary relational database management system developed by Microsoft.As a database server, it is a software product with the primary function of storing and retrieving data as requested by other software applications—which may run either on the same computer or on another computer across a network (including the Internet).

8. Cosmos DB - Wikipedia

   en.wikipedia.org/wiki/Cosmos_DB

   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]

9. SQL - Wikipedia

   en.wikipedia.org/wiki/SQL

   SQL was initially developed at IBM by Donald D. Chamberlin and Raymond F. Boyce after learning about the relational model from Edgar F. Codd [12] in the early 1970s. [13] This version, initially called SEQUEL (Structured English Query Language), was designed to manipulate and retrieve data stored in IBM's original quasirelational database management system, System R, which a group at IBM San ...