Azure Cosmos DB Pricing


Azure Cosmos DB Pricing

Here are some key aspects of Azure Cosmos DB pricing:

  1. Provisioned Throughput: Azure Cosmos DB offers two main pricing models: provisioned throughput and serverless. Provisioned throughput allows you to reserve a certain level of request units per second (RU/s) to ensure predictable performance for your database. The cost is based on the level of provisioned throughput, and you pay for the reserved RU/s even if you’re not actively using them.

  2. Serverless: The serverless pricing model allows you to pay for the actual RU/s consumed by your database operations, making it more cost-efficient for applications with varying workloads. You are billed per RU/s used, and there is no need to pre-allocate or reserve RU/s.

  3. Data Storage: In addition to RU/s, you are charged for the storage of data in Azure Cosmos DB. The cost is based on the amount of data stored in the database, including documents, indexes, and other metadata.

  4. Data Transfer: Data transfer costs may apply when moving data in and out of Azure Cosmos DB. There are separate charges for data transfer within Azure and data transfer between Azure and the internet.

  5. Global Distribution: If you use Cosmos DB’s global distribution features to replicate your data across multiple Azure regions for high availability and low-latency access, there may be additional charges associated with data replication and data transfer between regions.

  6. Consistency Levels: The choice of consistency level (e.g., strong, bounded staleness, eventual consistency) can impact costs, as stronger consistency levels may require more RU/s for read and write operations.

  7. Request Charges: Azure Cosmos DB bills for read and write requests in terms of RU/s consumed per operation. Complex queries or operations that require more resources will result in higher charges.

  8. Indexing: Cosmos DB automatically indexes your data to enable efficient queries. While indexing is included in the pricing, complex indexing configurations or large amounts of indexed data can affect costs.

  9. Backup and Restore: Cosmos DB provides backup and restore capabilities, which may incur additional costs based on the frequency and retention policies of your backups.

  10. Data Migration: If you are migrating data into Cosmos DB from external sources, consider the data migration costs, which can vary depending on the tools and methods used.

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