Amazon Managed Service for Prometheus

Name: Amazon Managed Service for Prometheus
Brand: Amazon Web Services (AWS)

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

MarketsInfrastructure Monitoring

Amazon Managed Service for Prometheus screenshot

01Competitive Landscape

Narrative analysis

AMP versus Grafana Cloud: - Grafana Cloud offers a combined metrics backend and visualization platform under one vendor. For organizations that prefer a single vendor for both storage and visualization, Grafana Cloud may present an operationally simpler option. - AMP differentiates on AWS-native security primitives and governance integration. AMP versus Google Cloud Managed Service for Prometheus: - Google emphasizes Cloud Monitoring integration and global scale. AWS emphasizes region-scoped workspaces with multi-AZ replication and configurable retention. - Choice often maps to cloud strategy and where existing workloads and governance controls reside. AMP versus Datadog: - Datadog is often purchased as a full-stack observability solution that bundles metrics, logs, traces, and APM in a single offering. - AMP can be preferable where existing Prometheus instrumentation and PromQL-based tools are already in use and AWS-native integration is a priority.

Market share and adoption trends

No authoritative public market share data for AMP specifically was identified in this research. Continued product announcements and feature investment suggest ongoing development and ecosystem integration but do not quantify adoption.

	Amazon Managed Service for Prometheus (AWS)	Grafana Cloud (Metrics)	Google Cloud Managed Service for Prometheus
Starting Price	Usage-based (ingest + store + query + collection)	Free tier available; paid tiers with platform and usage-based charges	Pricing aligned with the Cloud Monitoring model
Typical use case	AWS-centric teams wanting a managed PromQL backend with IAM/CloudTrail/PrivateLink	Teams seeking hosted metrics and dashboards with integrated Grafana UX	GCP-centric or multi-cloud teams wanting Cloud Monitoring integration and global query capabilities
Key strengths	AWS-native security and governance; Prometheus API compatibility; managed scaling	Strong Grafana ecosystem and hosted visualization experience	Deep Cloud Monitoring integration and global scale architecture
Key weaknesses	Cost sensitivity for high-cardinality or high-volume workloads; AWS coupling	Can become costly at scale and requires understanding of packaging	Best experience often assumes GCP usage; portability depends on Cloud Monitoring dependency

01Competitive Landscape

Narrative analysis

AMP versus Grafana Cloud:

Grafana Cloud offers a combined metrics backend and visualization platform under one vendor. For organizations that prefer a single vendor for both storage and visualization, Grafana Cloud may present an operationally simpler option.
AMP differentiates on AWS-native security primitives and governance integration.

AMP versus Google Cloud Managed Service for Prometheus:

Google emphasizes Cloud Monitoring integration and global scale. AWS emphasizes region-scoped workspaces with multi-AZ replication and configurable retention.
Choice often maps to cloud strategy and where existing workloads and governance controls reside.

AMP versus Datadog:

Datadog is often purchased as a full-stack observability solution that bundles metrics, logs, traces, and APM in a single offering.
AMP can be preferable where existing Prometheus instrumentation and PromQL-based tools are already in use and AWS-native integration is a priority.

Market share and adoption trends

	Amazon Managed Service for Prometheus (AWS)	Grafana Cloud (Metrics)	Google Cloud Managed Service for Prometheus
Starting Price	Usage-based (ingest + store + query + collection)	Free tier available; paid tiers with platform and usage-based charges	Pricing aligned with the Cloud Monitoring model
Typical use case	AWS-centric teams wanting a managed PromQL backend with IAM/CloudTrail/PrivateLink	Teams seeking hosted metrics and dashboards with integrated Grafana UX	GCP-centric or multi-cloud teams wanting Cloud Monitoring integration and global query capabilities
Key strengths	AWS-native security and governance; Prometheus API compatibility; managed scaling	Strong Grafana ecosystem and hosted visualization experience	Deep Cloud Monitoring integration and global scale architecture
Key weaknesses	Cost sensitivity for high-cardinality or high-volume workloads; AWS coupling	Can become costly at scale and requires understanding of packaging	Best experience often assumes GCP usage; portability depends on Cloud Monitoring dependency