ATLAS
Atlas for the Edge
Maintain your always-on experiences with seamless data synchronization between your edge devices, local environments, and the cloud.
Reliable data, where and when you need it
Edge computing enables critical, real-time use cases that drive operational efficiency, data-driven decision-making, bespoke customer experiences, and more. With Atlas for the Edge, you benefit from having a reliable, unified data layer across your distributed architecture.
Ensure that digital actions reflect physical events
Atlas for the Edge allows you to manage data from millions of sensors, smart devices, mobile phones, and kiosks with Atlas Device Sync and SDKs. Ensure uninterrupted access and real-time synchronization of critical data for your edge devices and applications.
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Leverage data insights to drive success
Atlas for the Edge provides a unified data layer that is built on our developer data platform. This gives your distributed architecture a reliable and real-time source of truth, in addition to advanced features like triggers, search, charts, and enterprise-grade security.
Atlas for the Edge
Capabilities
Resources for building edge applications
FAQ
What is edge computing?
Edge computing is a distributed systems approach that brings the processing, storing, and accessing of data closer to where it’s generated and used. This includes devices, applications, on-premises locations, and the cloud.
What can edge computing be used for?
Edge computing use cases include:
- Smart factories: Immediate data analysis for equipment monitoring and predictive maintenance
- Fleet management: Real-time data processing for vehicle tracking and improved vehicle safety
- Retail: Optimized inventory management and personalized in-store experiences
- Healthcare monitoring: Real-time patient monitoring closer to the point of care
- Telecommunications: Reduced latency and network congestion for enhanced service quality
What are the benefits of edge computing?
Benefits of edge computing include:
- Low latency data processing decreases response times for critical applications.
- Network resilience to intermittent connectivity prevents operational disruptions.
- Real-time data synchronization enables time-sensitive use cases.
- Local data processing reduces exposure to breaches during transmission increasing privacy and security.
What challenges come with building edge applications?
Challenges associated with building edge applications include:
- Wide array of vendors, each for a specific purpose
- Limited computing resources
- Developing and maintaining complex sync logic that can scale
- Network bandwidth restrictions
- Implementing security protocols
What is the difference between Atlas Device Sync and SDKs, and Atlas Edge Server?
Atlas Device Sync and SDKs are designed to synchronize data between devices and MongoDB Atlas in the cloud. These tools can also sync data to and from Atlas Edge Server, ensuring consistency across environments.
Atlas Edge Server is used to process and manage data locally within edge environments to reduce latency, enhance performance, and provide disconnection tolerance.
Both Atlas Device Sync and SDKs, and Atlas Edge Server facilitate data management across distributed environments.
Get the most out of Atlas
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