FullStory vs Datadog

Side-by-side comparison to help you choose the best tool.

FullStory

freemium
Data & Analytics
4.5 / 5.0

FullStory is a digital experience intelligence platform that captures every user interaction and uses AI to surface friction, drop-off points, and bugs across web and mobile. Its AI features include auto-generated session data, frustration signal detection, and DX Data - a structured dataset derived from behavioural signals. FullStory bridges the gap between quantitative analytics and qualitative session replay.

Best for: Product and engineering teams wanting complete session capture with AI insight generation to identify and fix UX friction
Visit FullStory

Datadog

paid
Data & Analytics
4.6 / 5.0

Datadog is a cloud-scale observability and security platform that monitors infrastructure, applications, and logs in real time. Its AI features include Watchdog - an autonomous anomaly detection engine - plus Bits AI, a natural language assistant that helps engineers investigate incidents, query logs, and understand distributed traces without digging through dashboards manually.

Best for: DevOps and SRE teams monitoring cloud infrastructure and applications at scale
Visit Datadog
Feature Comparison
Feature FullStory Datadog
Pricing freemium paid
Category Data & Analytics Data & Analytics
Rating ★★★★½ 4.5 ★★★★½ 4.6
Best For Product and engineering teams wanting complete session capture with AI insight generation to identify and fix UX friction DevOps and SRE teams monitoring cloud infrastructure and applications at scale
Views 5 6
Pros & Cons — FullStory
Pros
  • Captures every interaction without sampling
  • AI frustration detection identifies UX problems automatically
  • DX Data enables analytics on behavioural signals
Cons
  • Can be expensive at enterprise scale
  • Full capture creates large data volumes to manage
Pros & Cons — Datadog
Pros
  • Comprehensive full-stack observability
  • Powerful AI anomaly detection
  • Extensive integrations (600+)
Cons
  • Costs escalate quickly at scale
  • Can be complex to configure for beginners
Key Features — FullStory
  • Full session capture & replay
  • AI frustration signal detection
  • DX Data structured behavioural dataset
  • Funnel & conversion analysis
  • Error tracking integration
Key Features — Datadog
  • AI anomaly detection (Watchdog)
  • Bits AI natural language queries
  • APM & distributed tracing
  • Log management
  • Infrastructure monitoring

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