Azure Cosmos DB Design Patterns | Schema Versioning

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Over the years, developers have asked for guidance on designing applications with Azure Cosmos DB, from implementing common NoSQL patterns to leveraging Cosmos DB’s unique capabilities. To make these insights more accessible, we created Azure Cosmos DB Design Patterns—a GitHub repository with sample implementations to help developers solve real-world architectural challenges.

In this episode, Mark Brown and Jasmine Greenaway explore the Schema Versioning pattern—an essential approach for evolving data structures in NoSQL databases. Unlike traditional databases that enforce strict schemas, Azure Cosmos DB is schema-agnostic, allowing documents to evolve over time. Learn how tracking schema versions within documents enables seamless upgrades, backward compatibility, and smoother application evolution. See how this approach ensures data integrity while maintaining flexibility, making it ideal for real-world applications that need to support multiple schema versions simultaneously.

#AzureCosmosDB #NoSQL #SchemaVersioning

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