AWS IoT Greengrass review
A flexible edge runtime for teams connecting local workloads to AWS services.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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 connectivity is intermittent. Teams can deploy components to one or multiple core devices, making it relevant to small, mid-market, and enterprise organizations managing edge workloads. Its strongest fit is for AWS users who want local execution connected to cloud-based device management and AWS services.
Greengrass supports custom components, Lambda functions, Docker containers, and custom runtimes. The published feature set also includes local MQTT messaging and data-stream processing, alongside remote configuration and software upgrades through component deployments. It integrates with AWS IoT Core, Amazon S3, Amazon SageMaker AI, AWS Lambda, and Amazon Kinesis. Supported edge systems include Linux and Windows on 64-bit Arm or x86 devices, ranging from Raspberry Pi through server-level appliances. This breadth makes it useful for teams combining local processing, inference, and lifecycle management; teams seeking an ecosystem-neutral service may prefer a platform less tied to AWS integrations.
According to AWS pricing, Pay-as-you-go starts at $0.16 per core device per month, with usage charges depending on the number of active Greengrass Core devices connecting to the cloud service. The first three Core devices connecting each month are included in the AWS Free Tier for one year, so this is not an unlimited free plan. The pricing structure gives teams a per-device starting point, but costs can vary with the active device count. Choose Greengrass when local workloads, component deployment, and AWS service connections are central requirements; look elsewhere if an ongoing free tier or a different cloud ecosystem is essential.
AWS IoT Greengrass pros and cons
- 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
AWS IoT Greengrass fact sheet, pricing and score →
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