Azure Cosmos DB is a globally distributed, multi-model database service that is designed to provide fast, scalable, and highly available data storage and retrieval. It is a NoSQL database that supports a variety of data models including document, key-value, graph, and column-family.

Here are some key features of Azure Cosmos DB:

1. Global distribution: Cosmos DB is designed to be distributed globally with low latency and high throughput. This allows your data to be available in any region around the world, which is important for applications that require fast response times.
2. Multi-model support: Cosmos DB supports multiple data models, including document, key-value, graph, and column-family. This allows you to choose the best data model for your application needs.
3. Consistency levels: Cosmos DB provides a range of consistency levels, which determine how soon data changes are propagated to other regions in the database. You can choose from five consistency levels, ranging from strong to eventual.
4. Automatic indexing: Cosmos DB automatically indexes your data to provide fast query performance. You can also create custom indexes to optimize queries for your specific application needs.
5. Security: Cosmos DB provides a range of security features, including role-based access control, encryption at rest and in transit, and network isolation.
6. API compatibility: Cosmos DB supports multiple APIs including SQL, MongoDB, Cassandra, Azure Table Storage, and Gremlin. This allows you to use familiar programming interfaces and tools to interact with Cosmos DB.
7. Cost-effective: Cosmos DB offers a pay-as-you-go pricing model, which means you only pay for the amount of data you store and the resources you consume.

In summary, Azure Cosmos DB is a powerful, globally distributed NoSQL database service that provides fast, scalable, and highly available data storage and retrieval with multi-model support, multiple consistency levels, automatic indexing, and strong security features.

Pricing tear for Azure Cosmos DB

Azure Cosmos DB offers a pay-as-you-go pricing model based on the amount of data stored, the number of read and write operations, and the throughput required for those operations. Here are some key pricing factors:

1. Data storage: The cost of storing data in Cosmos DB depends on the amount of data stored and the replication strategy chosen. You can choose between single-region or multi-region replication, and the pricing varies accordingly.
2. Request units (RUs): Request units represent the number of resources required to process a single read or write operation on a database. The cost of RUs depends on the throughput required for those operations, measured in units per second.
3. Data transfer: The cost of data transfer depends on the amount of data transferred in and out of the Cosmos DB account. Inbound data transfer is generally free, while outbound data transfer is charged based on the region and volume of data transferred.
4. Indexing: Cosmos DB automatically indexes your data to provide fast query performance. The cost of indexing depends on the amount of data indexed and the indexing strategy chosen.
5. Backup and restore: Cosmos DB provides automatic backups of your data, which can be used for disaster recovery. The cost of backup and restore depends on the size of the database and the frequency of backups.

In summary, the cost of using Azure Cosmos DB depends on a variety of factors including data storage, throughput requirements, data transfer, indexing, and backup and restore. The pricing can be customized based on your specific application needs, and you only pay for the resources you consume. It's always a good idea to review the Azure Cosmos DB pricing documentation for the latest pricing information and options.