FullStory vs New Relic
Detailed side-by-side comparison
FullStory
FreeFullStory is a digital experience analytics platform focused on capturing and analyzing user behavior through session replays, heatmaps, and funnel analysis. It helps product teams, engineers, and customer support understand how users interact with websites and mobile apps to optimize experiences and resolve issues.
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FreeNew Relic is a comprehensive observability platform designed for monitoring application performance, infrastructure, and system health across the entire technology stack. It provides developers and DevOps teams with real-time insights, distributed tracing, and AI-powered analytics to maintain and optimize complex cloud and on-premises environments.
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| Feature | FullStory | New Relic |
|---|---|---|
| Primary Focus | User experience and behavior analytics with emphasis on understanding customer journeys and interactions | Application performance monitoring and infrastructure observability with focus on system health and technical performance |
| Session Replay | Pixel-perfect session replay capturing every user interaction automatically for UX analysis and debugging | Digital experience monitoring for web and mobile but focuses more on performance metrics than visual replay |
| Performance Monitoring | Limited to front-end user experience metrics and page load impact visibility | Full-stack APM with distributed tracing, infrastructure monitoring, and deep server-side performance analysis |
| Search and Analysis | OmniSearch for finding specific user sessions and behaviors with intuitive filters and segmentation | NRQL query language for complex data analysis across logs, metrics, and traces with custom visualizations |
| Error Detection | Identifies frustration signals, rage clicks, and front-end errors in the context of user sessions | AI-powered anomaly detection and error analysis across the entire application stack with root cause analysis |
| Integration Ecosystem | Integrates with analytics and customer support tools to enhance user behavior insights | Integrates with 600+ technologies including cloud platforms, containers, Kubernetes, and serverless architectures |
Pricing Comparison
Both tools offer free starter tiers beginning at $0/month, but can become expensive at scale. FullStory's pricing grows with user traffic and data capture, while New Relic's costs scale with data ingestion volume, making both potentially costly for high-usage scenarios.
Verdict
Choose FullStory if...
Choose FullStory if you're a product team, UX designer, or customer support organization focused on understanding user behavior, identifying friction points in the customer journey, and optimizing digital experiences through visual session replay and behavior analytics.
Choose New Relic if...
Choose New Relic if you're a development, DevOps, or IT operations team needing comprehensive monitoring of application performance, infrastructure health, and system reliability across cloud environments, microservices, or complex technical stacks requiring full observability.
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Pros & Cons
FullStory
Pros
- + Powerful session replay capabilities that capture every user interaction automatically
- + Intuitive search functionality makes it easy to find specific user sessions and behaviors
- + Excellent for identifying UX issues and debugging customer problems
- + Strong privacy controls and data governance features
Cons
- - Premium pricing can be expensive for smaller companies or startups
- - Large data capture can impact page load times if not optimized
- - Steep learning curve to fully leverage advanced features
New Relic
Pros
- + Comprehensive all-in-one platform eliminating need for multiple monitoring tools
- + Powerful query language (NRQL) for deep data analysis and custom visualizations
- + Excellent support for modern architectures including Kubernetes, containers, and serverless
- + Strong community and extensive documentation with pre-built integrations
Cons
- - Can be expensive at scale with complex pricing based on data ingestion
- - Steep learning curve for advanced features and query capabilities
- - Performance overhead on applications when using intensive instrumentation