Book Image

Learning Azure Cosmos DB

By : Shahid Shaikh
Book Image

Learning Azure Cosmos DB

By: Shahid Shaikh

Overview of this book

<p>Microsoft has introduced a new globally distributed database, called Azure Cosmos DB. It is a superset of Microsoft's existing NoSQL Document DB service. Azure Cosmos DB enables you to scale throughput and storage elastically and independently across any number of Azure's geographic regions.</p> <p>This book is a must-have for anyone who wants to get introduced to the world of Cosmos DB. This book will focus on building globally-distributed applications without the hassle of complex, multiple datacenter configurations. This book will shed light on how Cosmos DB offers multimodal NoSQL database capabilities in the cloud at a scale that is one product with different database engines, such as key-value, document, graph, and wide column store. We will cover detailed practical examples on how to create a CRUD application using Cosmos DB with a frontend framework of your choice. This book will empower developers to choose their favorite database engines to perform integration, along with other systems that utilize the most popular languages, such as Node.js. This book will take you through the tips and trick, of Cosmos DB deployment, management, and the security offered by Azure Cosmos DB in order to detect, prevent, and respond to database breaches.</p> <p>By the end of this book, you will not only be aware of the best capabilities of relational and non-relational databases, but you will also be able to build scalable, globally distributed,<br />and highly responsive applications.</p>
Table of Contents (14 chapters)
Title Page
Packt Upsell
Contributors
Preface
Index

Choosing the database API in Cosmos DB


As you already know, at the time of writing, Cosmos DB provides four database APIs and we can choose or combine them together, as per our need. Right now, we have a requirement for the database which can write the data in an efficient way because, in email tracking, we are going to update our records frequently.

Our requirement for the read operation is not that huge: the tracking data can be easily served to the user or transferred to a data analytics engine.

So, here is the thing: if we had to manually install or choose the database, then these metrics would come into the picture. Cosmos DB is a managed database service with SLA of their consistency and latency, hence, any database API which your application can easily integrate with should work here as well.

I would prefer to go with MongoDB API support because of the following two reasons:

  • It is JSON-based, and can easily synchronize with the analytics engine
  • It offers native support in Node.js, and...