Cosmos DB is a globally distributed, multi-model database service provided by Microsoft Azure. It offers turnkey global distribution, elastic scalability of throughput and storage, and comprehensive SLAs. Cosmos DB supports multiple data models including document, key-value, graph, and column-family, allowing for flexible and efficient data management across various use cases.
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About Cosmos Db
Cosmos DB was introduced by Microsoft in 2017 as a successor to its earlier NoSQL service, DocumentDB. It was created to address the need for a globally distributed database that could provide high availability, low latency, and elastic scalability. The service aimed to support multiple data models and offer comprehensive SLAs to meet the demands of modern, cloud-based applications.
Strengths of Cosmos DB include global distribution, multi-model support, elastic scalability, and comprehensive SLAs. Weaknesses involve higher costs compared to some alternatives and potential complexity in setup and management. Competitors include Amazon DynamoDB, Google Cloud Spanner, and MongoDB Atlas.
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How to hire a Cosmos Db expert
A Cosmos DB expert must have proficiency in SQL and NoSQL databases, experience with Azure services, and familiarity with data modeling for document, key-value, graph, and column-family data. They should also possess skills in performance tuning, partitioning strategies, and managing global distribution. Knowledge of API integrations like SQL API, MongoDB API, Cassandra API, Gremlin API, and Table API is essential.
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