Fifteen platforms for running, managing and securing applications at the edge — from container control planes and Kubernetes distributions to hyperscaler extensions, edge clouds and industrial IoT.
Gartner defines the market by three core capabilities. Use them as a checklist when you compare options.
Containers, clustering or hypervisors that are secure by design, scalable and flexible about workloads.
Connects smoothly to cloud data services and applications, with networking in both directions.
Central, zero-touch management of the whole stack: onboarding, fleet deployment, updates and rollback.
Filter by category to narrow down the list.
by Portainer
A lightweight control plane for running containerised workloads across many distributed edge sites. It manages Docker, Kubernetes, Swarm and Podman from one place.
Best forTeams that want one simple console for mixed container environments at the edge.
by Microsoft
Extends Azure cloud services to edge devices so AI models, analytics and IoT pipelines can run locally and sync back to the cloud.
Best forOrganisations already invested in Azure.
by SUSE
An enterprise full-stack Kubernetes distribution tuned for industrial and telecom sites, with validated security and automated lifecycle management.
Best forIndustrial and telecom operators needing a hardened, supported stack.
by Amazon Web Services
Runs Lambda functions and containers locally on edge devices while integrating with AWS cloud services.
Best forOrganisations that prioritise AWS ecosystem compatibility.
by Google
Managed Kubernetes at edge locations, giving low latency, data locality and integrated security for telecom and regulated industries.
Best forTelecom and regulated sectors needing local processing.
by Zoho
A low-code IoT platform for connecting assets, monitoring performance and automating operations across industrial, energy, smart-infrastructure and fleet use cases.
Best forBusinesses that want IoT without heavy engineering.
by Dell Technologies
A full-stack solution that centralises deployment, orchestration and lifecycle management of infrastructure and applications across distributed data centres and the edge.
Best forEnterprises standardising on Dell for distributed infrastructure.
by ZEDEDA
Cloud-native edge management and orchestration with an open-source edge operating system, built to run any app on any network and simplify edge AI operations.
Best forTeams running edge AI across large, varied device fleets.
by Fastly
Combines content delivery, edge computing and security to speed up and harden application delivery from a globally distributed network.
Best forWeb and application teams that need fast, secure delivery at the network edge.
by Akamai
A serverless environment for running JavaScript and custom logic across Akamai's global network, at different stages of an HTTP request.
Best forDevelopers adding custom logic close to users.
by Avassa
Helps enterprises deploy, run and monitor applications across distributed edge sites, bringing cloud-style automation to on-site environments.
Best forEnterprises operating applications across many on-site locations.
by Spectro Cloud
Deploys and manages Kubernetes clusters across public clouds, private clouds, data centres and edge locations, with lifecycle automation.
Best forPlatform teams managing Kubernetes everywhere.
by StorMagic
Hyperconverged infrastructure for edge and small data-centre sites, consolidating compute, storage and networking on standard x86 hardware.
Best forSmall sites that need compact, resilient infrastructure.
by NOV
Integrated automation and data management for oil and gas, supporting remote monitoring, control and optimisation of drilling rigs and production equipment.
Best forOil and gas operators with remote assets.
by Scale Computing
Edge computing as a service: infrastructure management and business continuity for distributed environments such as retail.
Best forDistributed businesses, like retail chains, needing always-on sites.
No platforms in this category.
Gartner Peer Insights rating shown as score out of 5, with the number of ratings in brackets.
| Platform | Vendor | Category | Gartner rating |
|---|---|---|---|
| Portainer | Portainer | Management & orchestration | — |
| Azure IoT Edge | Microsoft | Cloud-extended edge | — |
| SUSE Edge | SUSE | Kubernetes at the edge | — |
| AWS IoT Greengrass | Amazon Web Services | Cloud-extended edge | — |
| Google Distributed Cloud | Kubernetes at the edge | — | |
| Zoho IoT | Zoho | IoT & industry | 4.4 (24) |
| Dell Distributed Private Cloud | Dell Technologies | Management & orchestration | 4.4 (22) |
| ZEDEDA | ZEDEDA | Management & orchestration | 4.6 (8) |
| Fastly Edge Cloud Platform | Fastly | Edge cloud & serverless | 4.5 (7) |
| Akamai EdgeWorkers | Akamai | Edge cloud & serverless | 4.3 (6) |
| Avassa Edge Platform | Avassa | Management & orchestration | 4.7 (3) |
| Palette | Spectro Cloud | Kubernetes at the edge | 4.0 (1) |
| StorMagic SvHCI | StorMagic | Edge infrastructure | 4.0 (1) |
| Max Platform | NOV | IoT & industry | — |
| SC//Reliant Platform | Scale Computing | Edge infrastructure | — |
An edge computing platform provides the software infrastructure and services to run applications and process data at many remote sites, with centralised management and orchestration of the edge software stack and connectivity to the cloud and to endpoint devices.
Gartner's market definition highlights three core capabilities: edge software infrastructure (containers, clustering or hypervisors), cloud integration and networking, and edge management and orchestration, including zero-touch onboarding, fleet deployment, continuous updates and rollback.
SUSE Edge, Google Distributed Cloud and Spectro Cloud Palette are built around Kubernetes at the edge, while Portainer can manage Kubernetes alongside Docker, Swarm and Podman.
Azure IoT Edge extends Microsoft Azure to the edge, AWS IoT Greengrass does the same for AWS, and Google Distributed Cloud brings Google's managed Kubernetes to edge locations.
ZEDEDA, Avassa, Dell Distributed Private Cloud and Portainer focus on central management and orchestration of applications across many distributed sites.
Ratings are Gartner Peer Insights user reviews shown on the Edge Computing Platforms market page as of October 2026. Some products have very few reviews, so treat scores as indicative. They are individual opinions, not Gartner endorsements.