Appxiom vs New Relic:
Which Is Best for Your App Team?
See exactly what's breaking in your app - and what it's costing you. Appxiom connects every bug and performance issue to real business outcomes, across mobile and web.
Comparing Both Tools
Before comparing features, let us understand what each platform was actually built to do.
What Is New Relic?
New Relic is a full-stack observability platform built for engineering teams. It monitors applications, infrastructure, logs, networks, and security across every layer of a software system - from backend servers and Kubernetes clusters to browser sessions and mobile apps.
- Monitors backend, web, mobile, infrastructure, networks, and databases from a single platform
- Supports language agents for Go, Java, .NET, Node.js, PHP, Python, and Ruby
- Offers distributed tracing, AIOps, synthetics, and log management
- Billed by data ingestion (GBs) and user seats
- Best for enterprise engineering teams looking for a single platform for all infrastructure and software monitoring
What Is Appxiom?
Appxiom is an application performance monitoring platform built to detect bugs and connect them directly to the business outcomes of mobile and web apps. It doesn't just show you what broke - it shows you what that bug cost you in users, conversions, and revenue.
- Purpose-built for iOS, Android, and Flutter apps
- Connects every bug to real user journeys - signups, purchases, onboarding
- Detects 32+ issue types including memory leaks, frozen frames, and API failures
- Flat device-based pricing - no billing spikes when errors spike
- Best for teams that want to prioritize fixes by business impact
Side-by-Side Breakdown
Evaluated across the criteria that matter most to mobile engineering and product teams.
| Capability | Appxiom | New Relic |
|---|---|---|
| Crash Reporting | Supported | Supported |
| HTTP / Network Tracking | Supported | Supported |
| UI Performance | Supported | Supported |
| ANR Detection (Application Not Responding) | Real-time background monitoring on the main thread, capturing a full stack trace and activity trail as the block happens. | Reported via Android's [ApplicationExitInfo] API, only when the ANR results in a force exit of the app. |
| App Hangs | Automatically detects any UI thread block over 250ms, on by default, with a stack trace pointing to the exact line of code. | Tracks app launch time (cold/hot start); does not have a dedicated mid-session app hang detector. |
| Memory Leak Detection | Detects leaks in both testing and production. Debug builds add heap memory analysis that pinpoints the exact leaking code. | Not available in mobile monitoring. Infrastructure monitoring shows host-level memory usage metrics only. |
| Goal-Based User Journeys | Maps user flows (onboarding, checkout, sign-ups) directly to issues - goal attempts, affected devices, and drop-off, tied to business impact per app version. | Mobile User Journeys visualizes the screen sequence leading up to a crash for crash-pattern analysis. Doesn't track goal completions or conversion impact. |
| Business Impact Analysis | Goal Friction Impact (GFI) is built in - directly correlates issues to business goals with no separate setup. | Business Observability (Pathpoint) connects system health and service-level signals to business journey stages. It does not link individual bugs or crashes to specific business outcomes. |
| App Quality Score | A single 0-10 score per app version, weighted by issue severity and users affected - built for comparing release quality over time. | A green/orange/red health-status indicator based on Apdex score and reporting status - not a version-comparable quality benchmark. |
| Offline Data Capture | Captures data without internet connectivity, on by default. | Supported, but disabled by default on both iOS and Android; it must be manually enabled via a feature flag during setup. |
| Pricing Model | Flat per-device pricing. Predictable bills regardless of error volume. | Usage-based: billed by GB ingested and number of users. Costs scale with team size and data volume. |
Crash Reporting
Supported
Supported
HTTP / Network Tracking
Supported
Supported
UI Performance
Supported
Supported
ANR Detection (Application Not Responding)
Real-time background monitoring on the main thread, capturing a full stack trace and activity trail as the block happens.
Reported via Android's [ApplicationExitInfo] API, only when the ANR results in a force exit of the app.
App Hangs
Automatically detects any UI thread block over 250ms, on by default, with a stack trace pointing to the exact line of code.
Tracks app launch time (cold/hot start); does not have a dedicated mid-session app hang detector.
Memory Leak Detection
Detects leaks in both testing and production. Debug builds add heap memory analysis that pinpoints the exact leaking code.
Not available in mobile monitoring. Infrastructure monitoring shows host-level memory usage metrics only.
Goal-Based User Journeys
Maps user flows (onboarding, checkout, sign-ups) directly to issues - goal attempts, affected devices, and drop-off, tied to business impact per app version.
Mobile User Journeys visualizes the screen sequence leading up to a crash for crash-pattern analysis. Doesn't track goal completions or conversion impact.
Business Impact Analysis
Goal Friction Impact (GFI) is built in - directly correlates issues to business goals with no separate setup.
Business Observability (Pathpoint) connects system health and service-level signals to business journey stages. It does not link individual bugs or crashes to specific business outcomes.
App Quality Score
A single 0-10 score per app version, weighted by issue severity and users affected - built for comparing release quality over time.
A green/orange/red health-status indicator based on Apdex score and reporting status - not a version-comparable quality benchmark.
Offline Data Capture
Captures data without internet connectivity, on by default.
Supported, but disabled by default on both iOS and Android; it must be manually enabled via a feature flag during setup.
Pricing Model
Flat per-device pricing. Predictable bills regardless of error volume.
Usage-based: billed by GB ingested and number of users. Costs scale with team size and data volume.
Frequently Asked Questions
Stop Chasing Bugs. Start Protecting Your Business.
Join teams who use Appxiom to fix the bugs that actually matter - the ones quietly hurting users and revenue.