Azure Cosmos DB was introduced by Microsoft in 2017 as an evolution of its earlier service, DocumentDB, which was launched in 2015. It was created to address the growing need for a globally distributed, multi-model database service that could handle various data types and provide consistent performance at scale. The platform aimed to support modern applications requiring high availability, low latency, and seamless scalability across multiple regions.
Azure Cosmos DB
Azure Cosmos DB is a fully managed NoSQL database service designed to provide high availability, low latency, and global distribution. It supports multiple data models like key-value, document, graph, and column-family, allowing developers to build scalable applications with flexible schemas. Cosmos DB offers features such as automatic scaling, multi-region replication, and comprehensive SLAs for throughput, latency, availability, and consistency.
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About Azure Cosmos DB
Strengths of Azure Cosmos DB include global distribution, multi-model support, automatic scaling, and comprehensive SLAs for performance metrics. Weaknesses may involve higher costs for certain workloads and complexity in pricing models. Competitors include Amazon DynamoDB, Google Cloud Firestore, MongoDB Atlas, and Couchbase.
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How to hire a Azure Cosmos DB expert
An Azure Cosmos DB expert should possess skills in designing and implementing NoSQL databases, proficiency in SQL API and other supported APIs like MongoDB, Cassandra, Gremlin, and Table. They should be adept at configuring global distribution and partitioning strategies, optimizing performance through indexing and throughput management, and ensuring data security using Azure's authentication and encryption features. Knowledge of integration with other Azure services and experience with monitoring and troubleshooting using Azure Monitor are also essential.
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