Learning Azure Cosmos DB | Testprep Training Blog

Applications today must be responsive and available. These applications must be able to adapt to huge changes in real time during peak business hours, store increasing volumes of data, and make this data available to users in a matter of seconds. This is possible only if you deploy these instances in data centers. It is a tedious task to build a global distributed database similar to the one you have in your data centers. You will need to use your connections and other resources.
However, with cloud computing and platform-as-a-service it has become quite easier. Azure CosmosDB, the most popular service, addresses these issues and takes it to the next stage. It is a fully managed service that manages your database administration, including automatic management, upgrades and patching. This blog will allow you to dive deeper into Azure Cosmos DB, expand your knowledge, and provide insight.
What is Azure Cosmos DB?
Azure Cosmos DB, Microsoft’s multi-model, globally distributed database service, is called Azure Cosmos DB. It is a fully managed NoSQL NoSQL database that allows for modern app development. It is scalable to any size due to its single-digit millisecond response time and automatic and instant scaling. Also, it assures business continuity withSLA-backedavailability and enterprise-grade security. This service makes App development faster and more productive due to the availability of multi-region data distribution anywhere in the globe, open source APIs, and SDKs for many languages. It can also manage capacity by providing cost-effective serverless or automatic scaling options that responds to application requirements to balance demand and capacity.
Azure Cosmos DB Features
Azure Cosmos DB offers many capabilities. Cosmos DB features such as multi-model, multiAPI, and various consistency levels can help you select the right API and model for your application. Let’s take a look at them:
Distributors Worldwide
Azure Cosmos Database allows you to replicate your data globally by simply adding Azure regions.
Linearly Scalable
Linear scalability refers to the ability to handle increased load by adding servers to the cluster. Cosmos DB can process hundreds of millions of write and read transactions per second.
Schema-Agnostic Indexing
Cosmos DB’s database engine is schema-agnostic. This allows for automated data indexing. Cosmos DB indexes all data without the need to manage any schemas.
Multi-API Support and Multi-Language
Microsoft has released SDKs for a variety programming languages, including Java,.NET and Python. Cosmos DB supports the SQL API, Cosmos DB Table API and MongoDB API as well as the Graph API, Cassandra API and Gremlin API.
Cosmos DB can store data in multiple models, including Key-value Pair, Document, Graph, Column Family, and Graph-based databases. Global distribution, provisioning throughput and horizontal partitioning are all available in all data persistence models.
Automatically indexes data
Cosmos DB indexes all fields in all documents by default. However, custom indexes are possible. Azure’s automatic indexing capability indexes all properties of every record without the need to identify schemas and indices beforehand. This feature is compatible with every data model.
Multi-Consistency Support
Cosmos DB supports five consistency levels: Eventual, Prefix Session and Strong.
High Availability
Cosmos DB provides 99.999% availability for both writes and reads for multi-region accounts. Cosmos DB provides 99.99% availability for single-region accounts. If there is,

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