CHALLENGE + IMPACT

AI-powered apps at the edge need speed and reliability

Mobile and IoT apps that rely only on the cloud for data and AI processing depend on the internet—when it slows or stops, so do the apps that use it. This creates frustration for users and costly downtime for businesses. An edge IoT platform ensures that critical data processing happens closer to the source, improving speed, reliability, and user experience.

AI cannot respond in real-time

GenAI at the edge requires lightweight, secure, real-time data to engage users in context.

Apps stop working without internet

Going into an elevator, subway, or tunnel shouldn’t adversely affect the app user's experience in any way.

App data does not stay in sync

Distributed apps must ensure that data is always correct, always in sync, and never stale.

The internet hampers app speed and reliability

Personalized engagement starts with a fast, reliable experience, but edge apps that depend 100% on data and AI processing in the cloud suffer when the internet is slow or unavailable. An edge computing platform helps overcome these challenges by enabling real-time processing closer to users, ensuring apps stay responsive even in low-connectivity environments.

  • Latency and crashes are main reasons users abandon apps
  • Internet dead zones hinder apps that depend on the cloud
  • Downtime erodes revenue and user confidence
PRODUCTS

Enable cloud-to-edge AI with Couchbase Mobile

Couchbase Mobile is a powerful edge computing solution that helps you build mobile and IoT apps that operate without an internet connection. On-device data storage, built-in sync, and vector search ensure the best possible experience for app users.

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Enterprise-class cloud database

Industrial-strength backend

Use Couchbase Capella, our hosted Database-as-a-Service, or install and manage Couchbase Server on your own.

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Embedded data processing

Always fast and available

Eliminate internet dependencies to increase app speed and uptime.

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Edge-ready database server

Built for the edge

Use Couchbase Server at the edge, or deploy Edge Server for resource constrained edge deployments.

Learn about Couchbase Mobile

Cloud-to-edge data sync

Always current and accurate

Maintain consistency and eliminate data loss.

Learn about App Services

Cloud-to-edge vector search

Edge AI

Cloud scale with edge processing for personalized GenAI engagement. Leverage local and remote models.

Learn about Vector Search
Introducing Couchbase Edge Server

A lightweight database server built for resource-constrained edge environments

Read the blog
CUSTOMERS

Customers rely on Couchbase Mobile

  • “Hundreds of thousands of documents flow between the devices and the server. Couchbase takes care of the sync, and we can focus on our business process.”
    Madhav Mekala, Commerce Architect, PepsiCo
    30K field reps work from anywhere
    Read Customer Story See all stories
  • “With Couchbase Capella, millions of players are able to have a consistent experience without any disruptions, even when network connectivity is unreliable.”
    Lars Schmeller, Team Lead, Lotum
    800M game downloads
    10M+ monthly active users
    Read Customer Story See all stories
  • “Couchbase is very strategic for us. We can now open new, smaller-format storefronts faster and maximize the ROI of each new location.”
    Gary O’Connor, CTO, Doddle
    3 months development time
    Read Customer Story See all stories
  • “Our digital showroom concept completely reimagines the traditional buying approach and establishes a new fashion industry benchmark for business-to-business sales.”
    Daniel Grieder, CEO, Tommy Hilfiger
    66% reduction in purchase time
    80% reduction of physical samples
    Read Customer Story See all stories

Learn more about Couchbase Mobile

Datasheet
Couchbase Mobile
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Whitepaper
How to choose a mobile database
Explore the whitepaper
BLOG
Edge AI and the Role of the Database
Read the blog

Explore related use cases

Couchbase’s enterprise-class cloud database platform not only helps companies deliver better and faster edge AI applications, it also helps with these other application challenges.

Application performance

Increase application responsiveness to users and server-side systems.

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Application flexibility

Easily adapt to user needs during development and after deployment.

Explore use case
Distributed workloads

Cluster processes to offer high availability and fault tolerance.

Explore use case
See All Use Cases
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