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Mobile Edge Computing and MongoDB

Ultra-fast computing and super-scaled connectivity at the edge

Mobile edge computing, the ability to deploy compute and storage closer to the end user, introduces a new mode of cloud deployments to help communications service providers keep up with both the competition and evolving customer demands.

Companies everywhere are facing a new cloud computing paradigm that combines the best experiences of hyperscaler compute and storage with the topological proximity of 5G networks.

What are the benefits of mobile edge computing?

  • Lower latency
  • More reliable service
  • Increased scalability
  • Greater network assurance
  • Rapid innovation
  • Better use of physical, virtual, and personnel resources

Computing at the Edge with
MongoDB Atlas

MongoDB Atlas is a next-gen data platform, equipped with all the power to simplify data management while also delivering data in an instant.

Data Synchronization

MEC requires an instantaneous and comprehensive overview of the dataset stored in the cloud while synchronizing only required data to dedicated edge data stores on demand. For many cases, such as digital twin, this synchronization needs to be bi-directional and may potentially include conflict resolution logic.

These requirements mean you need a next-gen data platform, equipped with all the power to simplify data management while also delivering data in an instant. MongoDB Atlas is the ideal solution for the central, cloud-based datastore. With a hub and spoke architecture, you always have a single view of the data even where there are multiple edge locations in play simultaneously.

Real-Time Analytics

Modern end-user applications are often required to generate real-time insights based on data as it becomes available. You also need to execute analytics for use cases such as anomaly detection in real-time without incurring additional latency.

MongoDB Atlas helps you tap into real-time analytics without the need to integrate additional technologies. With Atlas Data Lake operates as a serverless, scalable query engine, delivering more valuable data insights, and a simpler, faster experience for developers.

Mobile Integration

Mobile devices generate an exponentially increasing volume of data, but to get the most out of this data, you have to navigate challenges like duplication, connectivity interruption, device failure, and more.

Easily synchronize mobile data between a flexible client-side database and a powerful, fully managed backend in Atlas. With out-of-the-box networking code and conflict resolution, Atlas Device Sync accelerates mobile application development while ensuring that your end user experience on devices is responsive and performant, regardless of connectivity.

Native Search Capabilities

Users expect search capabilities to be instant, intuitive, and comprehensive, similar to the experience they get with Google. With databases this is often easier said than done and as a result, organizations often resort to integrating specialized search technologies.

Atlas Search eliminates the need for a separate search architecture by directly offering developers built-in, full text search capabilities, requiring no additional infrastructure management responsibilities.

MEC requires an instantaneous and comprehensive overview of the dataset stored in the cloud while synchronizing only required data to dedicated edge data stores on demand. For many cases, such as digital twin, this synchronization needs to be bi-directional and may potentially include conflict resolution logic.

These requirements mean you need a next-gen data platform, equipped with all the power to simplify data management while also delivering data in an instant. MongoDB Atlas is the ideal solution for the central, cloud-based datastore. With a hub and spoke architecture, you always have a single view of the data even where there are multiple edge locations in play simultaneously.

Modern end-user applications are often required to generate real-time insights based on data as it becomes available. You also need to execute analytics for use cases such as anomaly detection in real-time without incurring additional latency.

MongoDB Atlas helps you tap into real-time analytics without the need to integrate additional technologies. With Atlas Data Lake operates as a serverless, scalable query engine, delivering more valuable data insights, and a simpler, faster experience for developers.

Mobile devices generate an exponentially increasing volume of data, but to get the most out of this data, you have to navigate challenges like duplication, connectivity interruption, device failure, and more.

Easily synchronize mobile data between a flexible client-side database and a powerful, fully managed backend in Atlas. With out-of-the-box networking code and conflict resolution, Atlas Device Sync accelerates mobile application development while ensuring that your end user experience on devices is responsive and performant, regardless of connectivity.

Users expect search capabilities to be instant, intuitive, and comprehensive, similar to the experience they get with Google. With databases this is often easier said than done and as a result, organizations often resort to integrating specialized search technologies.

Atlas Search eliminates the need for a separate search architecture by directly offering developers built-in, full text search capabilities, requiring no additional infrastructure management responsibilities.

CUSTOMER SUCCESS

MongoDB + Verizon

Working together to deliver 47% faster data throughput on the edge

Verizon is one of the largest cellular telecommunications companies in the United States, with over 140 million retail connections and over 130,000 employees.

Together, MongoDB and Verizon are unlocking unlocking the potential of being able to host application and data processing at the edge of their 5G network to power entirely new categories of mission critical use cases, and creating a force multiplier for innovation, with the goal of extending the life cycle of devices and creating a return on investment for enterprises who harness the power of the network edge. Mobile Edge Computing A single request-response is used to identify the optimal edge endpoint.

Ready to get started?

Tell us what you’re solving for. MongoDB will help you find the best solution.