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articles/cosmos-db/mongodb/introduction.md

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- **Active-active database**: Unlike MongoDB Atlas, Cosmos DB for MongoDB supports active-active across multiple regions. Databases can span multiple regions, with no single point of failure for **writes and reads for the same data**. MongoDB Atlas global clusters only support active-passive deployments for writes for the same data.
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- **Cost efficient, granular, unlimited scalability**: Sharded collections can scale to any size, unlike other MongoDB service offerings. The Azure Cosmos DB platform can scale in increments as small as 1/100th of a VM due to its architecture. This means that you can scale your database to the exact size you need, without paying for unused resources.
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- **Real time analytics (HTAP) at any scale**: Run analytics workloads against your transactional MongoDB data in real time with no effect on your database. This analysis is fast and inexpensive, due to the cloud native analytical columnar store being utilized, with no ETL pipelines. Easily create Power BI dashboards, integrate with Azure Machine Learning and Azure Cognitive Services, and bring all of your data from your MongoDB workloads into a single data warehousing solution. Learn more about the [Azure Synapse Link](../synapse-link.md).
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- **Serverless deployments**: Cosmos DB for MongoDB offers a [serverless capacity mode](../serverless.md). With [Serverless](../serverless.md), you're only charged per operation, and don't pay for the database when you don't use it.
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- **Free Tier**: With Azure Cosmos DB free tier, you get the first 1000 RU/s and 25 GB of storage in your account for free forever, applied at the account level. Free tier accounts are automatically [sandboxed](../limit-total-account-throughput.md) so you never pay for usage.
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- **Flexible single-field indexes**: Unlike single field indexes in MongoDB Atlas, [single field indexes in Cosmos DB for MongoDB](indexing.md) cover multi-field filter queries. There is no need to create compound indexes for each multi-field filter query. This increases developer productivity.
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- **Real time analytics (HTAP) at any scale**: Run analytics workloads against your transactional MongoDB data in real time with no effect on your database. This analysis is fast and inexpensive, due to the cloud native analytical columnar store being utilized, with no ETL pipelines. Easily create Power BI dashboards, integrate with Azure Machine Learning and Azure Cognitive Services, and bring all of your data from your MongoDB workloads into a single data warehousing solution. Learn more about the [Azure Synapse Link](../synapse-link.md).
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- **In-depth monitoring capabilities**: Cosmos DB for MongoDB integrates natively with [Azure Monitor](../../azure-monitor/overview.md) to provide in-depth monitoring capabilities.
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## How Cosmos DB for MongoDB works

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