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Datadog vs Grafana Cloud

A detailed comparison to help you choose between Datadog and Grafana Cloud.

Quick Verdict

4.0/5

Datadog

0 reviews

3.9/5

Grafana Cloud

0 reviews

Datadog is rated higher (4.0 vs 3.9). Datadog is the leading enterprise observability platform. Infrastructure monitoring, APM, log management, synthetic monitoring, and security monitoring in one platform. 600+ integrations. Grafana Cloud provides managed Grafana, Prometheus, Loki (logs), Tempo (traces), and k6 (load testing). Free tier includes 10,000 metrics series. Open source self-hosting also available.

Datadog

Datadog

Enterprise monitoring — infrastructure, APM, logs

Grafana Cloud

Grafana Cloud

Open source observability platform — cloud and self-hosted

Overview
Rating4.0 (0 reviews)✓3.9 (0 reviews)
Pricing modelfreemiumfreemium
Starting priceFree tier availableFree tier available
Best forScaling engineering organisations running microservices that need full-stack correlation and can fund it, plus regulated teams needing FedRAMP High or EU/German data residency.Teams wanting a managed, self-hostable observability stack with a genuinely useful free tier and metrics, logs, and traces under one pane
Features
IPv6
DDoS protection
Automated backups
Snapshots
Managed option
Bare metal
GPU available
S3-compatible
Hourly billing
Free tier
Tags
Tags
free tierapi accessteam featuressso
free tieropen sourceself hostableapi accessteam features
Visit Datadog →Visit Grafana Cloud →

Datadog

Pros

  • + Deepest product breadth in observability: infrastructure, APM, logs, synthetics, RUM, security on one agent and one platform
  • + List pricing is public — $15/host/mo Infrastructure Pro, $31/host APM bundled — unusual for this market
  • + Strong correlation workflow: traces linked to logs, metrics and deploy events shortens incident debugging
  • + Regional data residency choice with fully isolated sites in the US, Germany, UK, Japan and Australia
  • + Mature alerting, dashboards and docs, with 600-plus integrations across the stack

Cons

  • - Costs compound fast at scale — logs, indexed spans and custom-metric overage routinely break budgets
  • - Complex multi-meter billing makes forecasting harder than the per-host headline suggests
  • - Free tier is evaluation-grade only: 5 hosts, one day of retention
  • - Product sprawl multiplies SKUs and contract surface area
  • - Site choice at sign-up is effectively permanent — migration between regions is a rebuild
View full Datadogreview →

Grafana Cloud

Pros

  • + Open source core (AGPLv3) across Grafana/Mimir/Loki/Tempo/Pyroscope — a real self-host exit
  • + Permanent free tier: 10k metric series, 50 GB logs/traces/profiles, 500 k6 VUh, no credit card
  • + Public Pro pricing ($19/mo platform fee, from $6.50/1k series) with automatic volume discounts
  • + 42 stack regions on AWS, Azure, and GCP including a Federal Cloud option

Cons

  • - Usage-based billing punishes metric cardinality and log verbosity — bills can spike on app-side mistakes
  • - PromQL/LogQL and label design have a real learning curve
  • - SLA is 99.5% (paid plans only) — below hyperscaler commitments
  • - Some enterprise RBAC/audit/reporting features require a quote-based Enterprise plan
View full Grafana Cloudreview →

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