Swiss Army Knife – Azure Cosmos DB
When it comes to storage, we often need to store multiple schemas of data using multiple databases. Due to the need to use multiple services, managing our solution becomes cumbersome, and it requires a lot of skill to do it in the right fashion. Thanks to Azure Cosmos DB, we can both store records using different database models (such as MongoDB, Table storage, and Gremlin) and pay only for what we agreed on – throughput, latency, availability, and consistency, all thanks to the serverless model.
The following topics will be covered in this chapter:
- What Azure Cosmos DB is and how it compares to other storage systems
- Partitioning, throughput, and consistency
- Different Azure Cosmos DB database models
- Security features
- Autoscaling, different methods of optimization, and managing capacity
- Using change feed to track changes
