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Microsoft Azure Cosmos DB
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Microsoft Azure Cosmos DB is a globally distributed, multi-model database service from Microsoft, offering turnkey global distribution across any number of Azure regions with support for document, key-value, graph, and column-family data models. Launched to cater to the needs of modern web, mobile, gaming, and IoT applications requiring low latency, high availability, and scalable solutions, Cosmos DB features multi-master replication for automatic and synchronous data replication, comprehensive SLAs for throughput, latency, availability, and consistency, and supports a range of APIs including SQL, MongoDB, Cassandra, Gremlin, and Table API. This enables developers to easily manage schema and index management, ensuring data is always available and up-to-date across the globe, making it an essential tool for building responsive and mission-critical applications.
Azure Cosmos DB, launched in 2017, is a globally distributed, multi-model NoSQL database service. It provides low-latency, high-availability data storage with support for APIs like SQL, MongoDB, Cassandra, Gremlin, and Table.
https://learn.microsoft.com/en-us/azure/cosmos-db
Azure Cosmos DB is Microsoft's globally distributed, multi-model database. With the click of a button, Azure Cosmos DB enables you to elastically and independently scale throughput and storage across any number of Azure's geographic regions. It offers throughput, latency, availability, and consistency guarantees with comprehensive service level agreements (SLAs), something no other database service can offer. You can Try Azure Cosmos DB for Free without an Azure subscription, free of charge and commitments.
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- Snippet from Wikipedia: Cosmos DB
Azure Cosmos DB is a globally distributed, multi-model database service offered by Microsoft. 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, which means it can handle unstructured, semi-structured, structured, and vector data types.
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