Ahrefs icon

Ahrefs

★★★★★ 4.7
VS
Datadog icon

Datadog

★★★★★ 4.5
Feature Ahrefs Datadog
Pricing From $129/mo Free / from $15/mo
Free Plan ✗ No ✓ Yes
Rating 4.7 / 5 4.5 / 5
Best For seo-professionals, agencies, content-marketers, enterprise devops-teams, sre-teams, cloud-native-companies, enterprises
Founded 2010 2010
Backlink Analysis
Keyword Research
Site Audit
Rank Tracking
Content Explorer
Competitor Analysis
Site Explorer
Infrastructure Monitoring
Apm
Log Management
Synthetics
Real User Monitoring
Security Monitoring
Dashboards
Alerting

✓ Ahrefs Pros

  • Largest backlink database in the industry
  • Excellent keyword difficulty scoring
  • Content Explorer for content research
  • Site Audit finds technical SEO issues

✗ Ahrefs Cons

  • Very expensive — no free tier
  • Learning curve for beginners
  • Credits system for some features

✓ Datadog Pros

  • Unified platform for metrics, traces, logs, and security
  • 750+ integrations with cloud services and tools
  • Powerful dashboards and alerting system
  • AI-powered anomaly detection

✗ Datadog Cons

  • Per-host pricing becomes expensive at scale
  • Complex pricing with many add-ons
  • Data ingestion costs can be unpredictable

The Verdict

Ahrefs is built for seo professionals and agencies, with a focus on backlink-analysis and keyword-research. Datadog targets devops teams and sre teams and leads with infrastructure-monitoring and apm.

On pricing, Datadog is the clear winner for budget-conscious users — starting at $15/mo compared to $129/mo for Ahrefs. That $114/mo difference adds up quickly for growing teams.

Datadog has a free plan, which gives it a meaningful edge for individuals and small teams exploring their options. Ahrefs requires a paid subscription from day one.

Feature-wise, Datadog offers broader built-in capabilities (8 features vs 7), while Ahrefs takes a more focused approach — which can mean a simpler, faster onboarding experience.

This is a genuinely close comparison. If you can, sign up for both free trials (where available) and run a one-week test with your actual team tasks before deciding.

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