AWS IoT Greengrass

Name: AWS IoT Greengrass
Brand: Amazon Web Services (AWS)
Rating: 4.1 (33 reviews)

Leader

Official Global LinkedIn page for Amazon Web Services (AWS).

Est 2006|Valuation $2560B|2 Ref Customers

LinkedIn 10.9M|Website|Web traffic 1.1M|FTEs 148,001|HQ Seattle, Washington, US

MarketsIndustrial IoT IoT Device Management

Platform CoversInfrastructure Monitoring

01Competitive Landscape

Narrative analysis

Greengrass vs Azure IoT Edge: - Both platforms enable local execution of workloads with a cloud-based management plane. - Azure documents the IoT Edge runtime as open source; total cost is driven by IoT Hub and supporting services. - Decision drivers for teams include existing cloud commitments, preferred workload packaging (Greengrass components/Lambda-like patterns vs Azure modules), and ecosystem/tooling fit. Greengrass vs EMQX ecosystem: - EMQX is primarily an alternative for device connectivity (MQTT broker) and may be paired with a separate edge agent or orchestrator for application deployments. - Cost-sensitive architectures may choose an MQTT-centric approach (self-managed or managed brokers) combined with container or k8s-based edge orchestration. Competitor claims caution: - Competitor materials sometimes include specific cost-reduction claims (for example, claims of substantial savings versus AWS IoT Core). Such claims depend heavily on modeled workload assumptions and should be validated against the organization’s own workload and usage profile.

Market share and adoption trends

AWS and Azure both maintain significant enterprise IoT footprints; vendor-specific market share figures for Greengrass are not typically published.
The Greengrass v2 release cadence and recent release notes indicate ongoing development activity.

	AWS IoT Greengrass	Microsoft Azure IoT Edge	EMQX (Cloud / Edge ecosystem)
Starting Price	Greengrass Core billed per active core-month; published per-core pricing and a limited free tier are available from the vendor.	IoT Edge runtime is open source; management and messaging require Azure IoT Hub and other Azure services (costs depend on usage).	EMQX Cloud offers various tiers, including free options and paid tiers for dedicated deployments; actual costs depend on configuration and deployment model.
Primary Fit	AWS-centric IoT/edge with managed deployments and AWS service integrations.	Azure-centric IoT with containerized modules and IoT Hub management.	MQTT-first connectivity and data pipelines; hybrid and multi-cloud architectures are common.
Key Strength	Integration with AWS IoT Core/IAM; edge runtime plus fleet deployment features; designed for intermittent connectivity.	Container/module approach with close integration into Azure services; open-source runtime.	Strong MQTT focus and flexibility for connectivity; potential cost advantages in certain architectures.
Key Weakness	Coupling to AWS services; operational complexity; v1→v2 migration risks; some ergonomics in deployment/versioning.	Requires Azure IoT Hub and related services; cloud coupling; tooling and migration considerations.	Not a full Greengrass-like edge application management suite by default; feature parity depends on additional components and architecture.

01Competitive Landscape

Narrative analysis

Greengrass vs Azure IoT Edge:

Both platforms enable local execution of workloads with a cloud-based management plane.
Azure documents the IoT Edge runtime as open source; total cost is driven by IoT Hub and supporting services.
Decision drivers for teams include existing cloud commitments, preferred workload packaging (Greengrass components/Lambda-like patterns vs Azure modules), and ecosystem/tooling fit.

Greengrass vs EMQX ecosystem:

EMQX is primarily an alternative for device connectivity (MQTT broker) and may be paired with a separate edge agent or orchestrator for application deployments.
Cost-sensitive architectures may choose an MQTT-centric approach (self-managed or managed brokers) combined with container or k8s-based edge orchestration.

Competitor claims caution:

Competitor materials sometimes include specific cost-reduction claims (for example, claims of substantial savings versus AWS IoT Core). Such claims depend heavily on modeled workload assumptions and should be validated against the organization’s own workload and usage profile.

Market share and adoption trends

AWS and Azure both maintain significant enterprise IoT footprints; vendor-specific market share figures for Greengrass are not typically published.
The Greengrass v2 release cadence and recent release notes indicate ongoing development activity.

	AWS IoT Greengrass	Microsoft Azure IoT Edge	EMQX (Cloud / Edge ecosystem)
Starting Price	Greengrass Core billed per active core-month; published per-core pricing and a limited free tier are available from the vendor.	IoT Edge runtime is open source; management and messaging require Azure IoT Hub and other Azure services (costs depend on usage).	EMQX Cloud offers various tiers, including free options and paid tiers for dedicated deployments; actual costs depend on configuration and deployment model.
Primary Fit	AWS-centric IoT/edge with managed deployments and AWS service integrations.	Azure-centric IoT with containerized modules and IoT Hub management.	MQTT-first connectivity and data pipelines; hybrid and multi-cloud architectures are common.
Key Strength	Integration with AWS IoT Core/IAM; edge runtime plus fleet deployment features; designed for intermittent connectivity.	Container/module approach with close integration into Azure services; open-source runtime.	Strong MQTT focus and flexibility for connectivity; potential cost advantages in certain architectures.
Key Weakness	Coupling to AWS services; operational complexity; v1→v2 migration risks; some ergonomics in deployment/versioning.	Requires Azure IoT Hub and related services; cloud coupling; tooling and migration considerations.	Not a full Greengrass-like edge application management suite by default; feature parity depends on additional components and architecture.