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| Compatible with MongoDB tools and drivers | Yes | Yes |
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| Global Distribution | Yes, [globally distributed](../distribute-data-globally.md) with automatic and fast data replication across any number of Azure regions | Yes, globally distributed with manual and scheduled data replication across any number of cloud providers or regions |
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| Global Distribution | Yes, [globally distributed](../distribute-data-globally.md) with automatic and fast data replication across any number of Azure regions | Yes, globally distributed with automatic and fast data replication across supported cloud providers or regions |
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| SLA covers cloud platform | Yes | No. "Services, hardware, or software provided by a third party, such as cloud platform services on which MongoDB Atlas runs are not covered" |
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| 99.999% availability SLA |[Yes](../high-availability.md)| No |
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| Instantaneous Scaling | Yes, [database instantaneously scales](../provision-throughput-autoscale.md) with zero performance impact on your applications | No, requires 1+ hours to vertically scale up and 24+ hours to vertically scale down. Performance impact during scale up may be noticeable |
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| True active-active clusters | Yes, with [multi-primary writes](./how-to-configure-multi-region-write.md). Data for the same shard can be written to multiple regions | No |
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| Vector Search for AI applications | Yes, with [Azure Cosmos DB for MongoDB vCore Vector Search](./vcore/vector-search.md)| Yes |
| Instantaneous Scaling | Yes, [database instantaneously scales](../provision-throughput-autoscale.md) with zero performance impact on your applications | No. Atlas dedicated instances managed by users, or scale automatically after analyzing the workload over a day. |
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| Multi-region writes (aka multi-master) | Yes. With multi-region writes, customers can update any document in any region, enabling 99.999% availability SLA | Yes. With multi-region zones, customers can configure different write regions per shard. Data within a single shard is writable in a single region. |
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| Limitless scale | Azure Cosmos DB provides ability to scale RUs up to and beyond a billion requests per second, with unlimited storage, fully managed, as a service. vCore-based Azure Cosmos DB for MongoDB deployments support scaling through sharding | No. MongoDB Atlas deployments support scaling through sharding. |
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| Independent scaling for throughput and storage | Yes, with RU-based Azure Cosmos DB for MongoDB | No |
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| Vector Search for AI applications | Yes, with [vCore-based Azure Cosmos DB for MongoDB](./vcore/vector-search.md)| Yes, with MongoDB Atlas dedicated instances |
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| Vector Search in Free Tier | Yes, with [Azure Cosmos DB for MongoDB vCore Vector Search](./vcore/vector-search.md)| No |
| Free tier |[1,000 request units (RUs) and 25 GB storage forever](../try-free.md). Prevents you from exceeding limits if you want. Azure Cosmos DB for MognoDB vCore offers Free Tier with 32GB storage forever. | Yes, with 512 MB storage |
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