Azure Cosmos DB conceptual whitepapers

APPLIES TO: NoSQL MongoDB Cassandra Gremlin Table

Whitepapers allow you to explore Azure Cosmos DB concepts at a deeper level. This article provides you with a list of available whitepapers for Azure Cosmos DB.

Whitepaper	Description
Schema-Agnostic Indexing with Azure Cosmos DB	This paper describes Azure Cosmos DB's indexing subsystem. This paper includes a deep dive into various Azure Cosmos DB capabilities. These capabilities include; document representation, query language, document indexing approach, core index support, and early production experiences.
Azure Cosmos DB and personal data	This paper provides guidance for Azure Cosmos DB customers managing a cloud-based database, an on-premises database, or both. This paper is ideal for customers who want to learn more about the rules related to how we handle and protect their personal data in their database systems.
Next-gen app development with Azure Cosmos DB	This paper explores how we uniquely positioned Azure Cosmos DB to address the data requirements of modern apps. It includes three customers spotlights highlighting the API for MongoDB, simplified data management, cost-effective scalability, market-leading performance, and reliability.
Cloud-Scale Data for Spring Developers	This paper helps you build cloud-native Java applications in Azure. This paper helps you gain insights about using NoSQL and why you should consider Azure Cosmos DB, our fully managed, distributed NoSQL database service on Azure.

Next steps

• Learn about common Azure Cosmos DB use cases