1. Deployment options: MongoDB Atlas offers a variety of deployment options, including shared clusters, dedicated clusters, and clusters in multiple cloud providers. On the other hand, Atlas-DB only supports deployment in its own cloud platform.

2. Pricing model: MongoDB Atlas follows a pricing model based on resource consumption, where users pay for the actual usage of their databases. In contrast, Atlas-DB follows a fixed pricing model, where users pay a predetermined fee regardless of their usage.

3. Management and monitoring: MongoDB Atlas provides a comprehensive console for managing and monitoring databases, with features like automated backups, point-in-time recovery, and performance optimization recommendations. Atlas-DB, however, provides a simpler management and monitoring interface with fewer features compared to MongoDB Atlas.

4. Integration with other services: MongoDB Atlas integrates seamlessly with other AWS services, such as Amazon CloudWatch for extended monitoring capabilities. Atlas-DB does not have such integrations and is limited to its own set of features and services.

5. Data residency and compliance: MongoDB Atlas allows users to choose the region where their data will be stored, enabling compliance with various data residency regulations. Atlas-DB does not provide such options and restricts data storage to its own cloud platform.

6. Support and SLAs: MongoDB Atlas offers various support plans with different service level agreements (SLAs) for faster issue resolution and 24/7 technical assistance. Atlas-DB provides support but does not offer a range of support plans or SLAs to choose from like MongoDB Atlas.

In Summary, MongoDB Atlas and Atlas-DB differ in terms of deployment options, pricing models, management and monitoring capabilities, integration with other services, data residency and compliance options, as well as support offerings.