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- Azure Cosmos DB is the next big leap in globally distributed, at-SCALE cloud databases. As a DocumentDB customer, you now have access to the breakthrough system and capabilities offered by Azure Cosmos DB.
- Azure Cosmos DB started as “Project Florence” in 2010 to address the pain points faced by developers in building large-scale applications inside Microsoft. The challenges of building globally distributed apps are not unique to Microsoft, so we made the first generation of this technology AVAILABLE in 2015 to Azure developers in the form of Azure DocumentDB.
- Since that time, we’ve added new features and introduced significant new capabilities. Azure Cosmos DB is the result. As a part of this release, DocumentDB customers, with their data, AUTOMATICALLY and seamlessly become Azure Cosmos DB customers. These capabilities are in the areas of the core database engine, as well as global distribution, elastic scalability, and industry-leading, comprehensive SLAs. Specifically, we have evolved the Azure Cosmos DB database engine to efficiently map all popular data models, type systems, and APIs to the underlying data model of Azure Cosmos DB.
- The current developer-facing manifestation of this work is the new support for Gremlin and Table storage APIs. And this is just the beginning. We plan to add other popular APIs and newer data models over time, with more advances in performance and storage at global scale.
- It is important to point out that the DocumentDB SQL dialect has always been just one of the many APIs that the underlying Azure Cosmos DB can support. For developers who USE a fully managed service such as Azure Cosmos DB, the only interface to the service is the APIs that are exposed by the service. Nothing really changes for existing DocumentDB customers. In Azure Cosmos DB, you get exactly the same SQL API that DocumentDB offers. And now (and in the future), you can access other previously INACCESSIBLE capabilities
- Another manifestation of our continued work is the extended foundation for global and elastic scalability of throughput and storage. We have made several foundational enhancements to the global distribution subsystem. One of the many such developer-facing features is the Consistent Prefix consistency model, which makes a total five well-defined consistency models. We will release many more interesting capabilities as they mature.
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