Amazon Managed Grafana

Name: Amazon Managed Grafana
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 Observability Platform Data Visualization

01Competitive Landscape

Narrative analysis

- AMG versus Grafana Cloud: - AMG is advantageous when AWS identity, billing consolidation, and AWS governance are priorities. - Grafana Cloud provides managed backends and enterprise features available in Grafana Labs’ higher tiers; there are documented differences in RBAC and API availability across offerings. - AMG versus Datadog/New Relic: - Datadog and New Relic are often selected for integrated ingestion, storage, and curated observability workflows. - AMG should be considered a managed visualization layer; data storage and ingestion must be selected and paid for separately (CloudWatch/AMP/OpenSearch/etc.). - AMG versus self-managed Grafana: - Self-managed Grafana provides maximum flexibility (plugins, versions, configurations, and API surface) but requires ongoing operational effort and staffing. - AMG reduces operational maintenance but introduces constraints determined by the managed service interface and exposed APIs.

	Amazon Managed Grafana	Grafana Cloud (Grafana Labs)	Datadog
Starting Price	Published per-editor and per-viewer monthly pricing available from the vendor (minimums may apply)	Free tier available; paid tiers vary and are usage-based by product (metrics/logs/traces/users)	Modular pricing; commonly per-host for infrastructure monitoring plus add-ons
Primary use case	AWS-centric organizations wanting a managed Grafana deployment integrated with AWS identity and governance	Teams seeking hosted Grafana with Grafana Labs-managed backends (Mimir/Loki/Tempo, etc.)	Organizations seeking a single SaaS platform for end-to-end observability with many out-of-box workflows
Key Strength	Tight AWS integration (CloudWatch/AMP/OpenSearch, IAM Identity Center/SAML), and reduced operational overhead for Grafana management	Vendor-first features, rapid feature velocity, and managed Grafana Labs backends	Unified experience across metrics/logs/traces/APM with many turnkey features and integrations
Key Weakness	Not always feature-parity with Grafana Cloud or self-managed deployments; managed-service constraints; backend costs still apply	Can become costly at scale; data egress/compliance constraints for some organizations	Pricing complexity and potential for high costs are common concerns

01Competitive Landscape

Narrative analysis

AMG versus Grafana Cloud:
- AMG is advantageous when AWS identity, billing consolidation, and AWS governance are priorities.
- Grafana Cloud provides managed backends and enterprise features available in Grafana Labs’ higher tiers; there are documented differences in RBAC and API availability across offerings.
AMG versus Datadog/New Relic:
- Datadog and New Relic are often selected for integrated ingestion, storage, and curated observability workflows.
- AMG should be considered a managed visualization layer; data storage and ingestion must be selected and paid for separately (CloudWatch/AMP/OpenSearch/etc.).
AMG versus self-managed Grafana:
- Self-managed Grafana provides maximum flexibility (plugins, versions, configurations, and API surface) but requires ongoing operational effort and staffing.
- AMG reduces operational maintenance but introduces constraints determined by the managed service interface and exposed APIs.

	Amazon Managed Grafana	Grafana Cloud (Grafana Labs)	Datadog
Starting Price	Published per-editor and per-viewer monthly pricing available from the vendor (minimums may apply)	Free tier available; paid tiers vary and are usage-based by product (metrics/logs/traces/users)	Modular pricing; commonly per-host for infrastructure monitoring plus add-ons
Primary use case	AWS-centric organizations wanting a managed Grafana deployment integrated with AWS identity and governance	Teams seeking hosted Grafana with Grafana Labs-managed backends (Mimir/Loki/Tempo, etc.)	Organizations seeking a single SaaS platform for end-to-end observability with many out-of-box workflows
Key Strength	Tight AWS integration (CloudWatch/AMP/OpenSearch, IAM Identity Center/SAML), and reduced operational overhead for Grafana management	Vendor-first features, rapid feature velocity, and managed Grafana Labs backends	Unified experience across metrics/logs/traces/APM with many turnkey features and integrations
Key Weakness	Not always feature-parity with Grafana Cloud or self-managed deployments; managed-service constraints; backend costs still apply	Can become costly at scale; data egress/compliance constraints for some organizations	Pricing complexity and potential for high costs are common concerns