Head-to-head · IoT Edge Platforms
AWS IoT Greengrass vs EdgeX Foundry
AWS IoT Greengrass leads on 0 checks, EdgeX Foundry on 1, and 0 are even. Who comes out ahead on the 1 yes/no, price and count check where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreAWS IoT Greengrass · 9.2/10
- Free planonly EdgeX Foundry
AWS IoT Greengrass scores higher on our rubric for iot edge platforms: 9.2 against 7.2 out of 10; our editors rank them #1 and #8.
EdgeX Foundry offers free plan; AWS IoT Greengrass doesn't.
AWS IoT Greengrass is the better fit for AWS users running local edge workloads. EdgeX Foundry is the better fit for teams building open-source device gateways.
- AWS IoT Greengrass fits best
AWS users running local edge workloads
- EdgeX Foundry fits best
Teams building open-source device gateways
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Side by side
| Feature | AWS IoT Greengrass 9.2/10 Visit ↗ | EdgeX Foundry 7.2/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.2 | 7.2 |
| Ranking | #1 in IoT Edge Platforms | #8 in IoT Edge Platforms |
| Best for | AWS users running local edge workloads | Teams building open-source device gateways |
| Pricing model | Paid | Free |
| Starting price | — | Free plan |
| Free plan | — | ✓ (best) |
| Free trial | — | — |
| Deployment | Cloud, Self-hosted | Self-hosted, Cloud |
| Platforms | Windows, Linux | Linux, Windows, macOS |
| Support | Community | Community, Docs |
| Built for | Small business, Mid-market, Enterprise | Small business, Mid-market, Enterprise |
| Features AWS IoT Greengrass 0/2 · EdgeX Foundry 0/2 | ||
| Edge device management | Not checked yet | Not checked yet |
| Fleet update management | Not checked yet | Not checked yet |
| Specs | ||
| Workload deployment | Not checked yet | Not checked yet |
| Supported device OS | Not checked yet | Not checked yet |
| Deployment model | Not checked yet | Not checked yet |
| Managed device limit | Not checked yet | Not checked yet |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | AWS IoT Greengrass is an edge runtime and cloud service for teams that need IoT devices to process data and run software locally. It supports local machine-learning inference and communication between devices, including when cloud… Read the review → |
EdgeX Foundry is a vendor-neutral, open-source IoT edge middleware platform for developers and organizations building device gateways and industrial edge solutions. Its modular microservices connect devices to applications: device services… Read the review → |
Strengths and trade-offs
AWS IoT Greengrass — where it wins
- Runs code, processes data, and performs ML inference on edge devices
- Deploys custom components, Lambda functions, and Docker containers
- Manages device software remotely and integrates with AWS services
Where it doesn't
- Usage charges vary with active Greengrass Core devices connecting to the cloud
- The Free Tier covers only the first three Core devices each month for one year
- Its AWS service integrations may be less suitable for non-AWS-centered stacks
EdgeX Foundry — where it wins
- Ingests and normalizes data across device-specific protocols
- Supports device commands, discovery, status, and configuration
- Containerized microservices and SDK scaffolding extend protocol support
Where it doesn't
- No built-in edge inference or model deployment
- Requires teams to build and operate a self-hosted middleware stack
- Support is through community resources and documentation
- AWS IoT Greengrass9.2/10 · Paid
A flexible edge runtime for teams connecting local workloads to AWS services.
Visit AWS IoTFull verdict → - EdgeX Foundry7.2/10 · Free plan
A modular gateway foundation for device connectivity, without built-in model deployment.
Visit EdgeX FoundryFull verdict →
More comparisons
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- AWS IoT Greengrass vs ZEDEDA Edge Intelligence Platform
- AWS IoT Greengrass vs KubeEdge
- AWS IoT Greengrass vs ThingsBoard
- Wind River Studio vs EdgeX Foundry
- Mender vs EdgeX Foundry
All IoT edge platforms comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update







