From popular edge servers on the market to edge infrastructure provided by cloud providers, deploy MongoDB anywhere, and leverage Atlas Edge Server to connect it to Atlas.
Automatically merge conflicting updates from on-premise data centers, edge devices, and the cloud to a single source of truth with Atlas Device Sync.
Integrate your distributed data sources to a single place in Atlas and leverage powerful platform capabilities like Stream Processing, Time Series, and more.
A tiered architecture with data on an Atlas Edge Server, plus data on-device, ensures network fault tolerance at edge locations. Edge devices can continue functioning over a local network.
Store and process data locally, on edge devices and servers using Atlas Device Sync to ensure real-time and offline user experiences use up-to-date data.
Deploy machine learning models at the edge to utilize real-time data without delays.
Edge computing offers significant opportunities for organizations that require distributed applications to reach end users with minimal latency. The distributed computing framework and data storage patterns leveraged in edge computing architectures, including processing data locally, results in:
Edge computing addresses many key business pain points and can be strategic for many businesses for these reasons.
Edge computing comes with significant challenges including:
Data storage also presents challenges when dealing with edge computing:
Examples of edge computing include: