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, synthetic monitoring, and AI-assisted troubleshooting
- Charges based on data ingested (GB) and number of full platform users - costs scale with usage
- Best for large engineering organizations that need observability across their entire technology stack
What Is Appxiom?
Appxiom is an application performance monitoring platform for mobile and web apps, built to detect bugs and connect them directly to business outcomes. It doesn't just show you what broke - it shows you what that bug cost you in users, conversions, and revenue.
- Built for iOS, Android, Flutter, and web apps from a single platform
- Connects every bug to real user journeys - signups, purchases, onboarding, custom user flows
- Detects 32+ issue types including memory leaks, frozen frames, ANRs, app hangs, and API failures
- Gives every app version a single Quality Score, so releases are easy to compare
- Flat device-based pricing - no billing spikes when errors spike
- Best for teams that want to prioritize fixes by business impact, not just bug count
Side-by-Side Breakdown
Evaluated across the criteria that matter most to mobile and web product teams.
| Feature | 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.
A Closer Look at the Feature Differences
ANR Detection (Application Not Responding)
Appxiom runs a real-time background monitor on the main thread. The moment thread blocking crosses a problematic threshold, it captures a full stack trace, the activity trail leading up to the event, and memory state, and reports it to your dashboard immediately - in both debug and release builds.
[ApplicationExitInfo] API - after the block has already happened and the OS has force-closed the app. That works, but it means the data only surfaces once the user reopens the app, not while the freeze is happening. App Hangs
Appxiom automatically detects any UI thread block lasting longer than 250ms, capturing the main thread's stack trace so you can trace the freeze back to the responsible function call. This is on by default and treated as core stability monitoring - no setup required.
Memory Leak Detection
Appxiom detects memory leaks in both testing and production. In production, it monitors memory growth patterns to flag leaks as they develop. In testing and debug builds, it goes further with heap memory analysis - so the root cause is identified before the build ever ships.
Goal-Based User Journeys
Appxiom maps and monitors critical user flows - like onboarding, signups, and checkouts, or custom user flows - directly tying each step to the bugs that disrupt it. When an issue occurs mid-journey, you see the goal attempt count, affected device count, and drop-off rate for that flow, in that specific app version, inside the Goal Friction Impact dashboard.
Business Impact Analysis
Appxiom's Goal Friction Impact (GFI) is built into every plan above Starter and requires no extra configuration - it automatically connects bugs to the user goals they disrupted, so a PM and an engineer are looking at the same number when deciding what to fix first.
App Quality Score
Appxiom's Quality Score gives every app version a single 0-10 score, calculated from a weighted combination of crashes, ANRs, memory leaks, and other issues based on severity and how many users were affected. Teams use it to instantly compare whether a new release is more or less stable than the last.
Offline Data Capture
Appxiom captures bug reports and performance data even when the user's device has no internet connection, with this behavior enabled by default. Storage capacity scales with the device, so the SDK can queue a large volume of events locally and sync them once connectivity is restored.
Pricing Predictability
Appxiom charges a flat monthly fee per tier of monthly active devices. Whether your app throws 100 errors or 100,000 errors in a month, your invoice does not change. You know your cost before the month begins, regardless of how a release performs.
Core Capabilities Appxiom Offers
These are the capabilities that come built into Appxiom by default - no add-on modules, no custom event instrumentation, no separate setup.
Real-Time ANR Detection
A live background thread monitor that captures a full stack trace, activity trail, and memory state at the moment of the block - not after the fact.
App Hang Detection
Automatically flags any UI thread freeze longer than 250ms, on by default, with a stack trace tracing the freeze to the responsible function call.
Memory Leak Detection
Catches leaks in both environments, with heap memory analysis in debug builds. New Relic has no memory leak detection in mobile monitoring - infrastructure monitoring shows host-level memory metrics only.
Goal Friction Impact
Connects every user journey directly to goal completions, drop-off rates, and the specific issues causing friction.
Quality Score Per Release
A single 0-10 score combining crashes, ANRs, memory leaks, and other issues weighted by severity and user impact - built specifically to compare release quality over time.
Business Impact on Bugs
Directly correlates technical defects and issues to business goals like sales and retention, with no separate module to configure.
Offline Capture, On by Default
Captures performance and bug data without internet connectivity, with no setup required - storage capacity scales with the device, typically above 500MB.
One Platform for Mobile and Web
A single SDK family across iOS, Android, Flutter, and web - so your mobile and web teams work from the same issue data, the same Quality Score logic, and the same business impact framework.
Simple, Transparent Billing
Pay per monthly active device - not per gigabyte ingested or per engineer who needs access. A crash spike that hits 50,000 users doesn't change your invoice. You always know what you'll pay before the month ends.
Use Case: Why Goal Friction Impact Matters
App errors don't just happen in isolation - they happen when a user is trying to get something done. Here's how the same payment failure scenario plays out differently in New Relic versus Appxiom.
The Scenario: A Silent Payment Failure
Your app processes in-app payments. A new release introduces a bug: an API timeout on the payment gateway causes transactions to silently fail for users right after they confirm their card details.
With New Relic
What you see: New Relic surfaces a rise in failed API calls and timeout errors on the payment endpoint for the new version. You can trace the request through distributed tracing and see the timeout occurring at the gateway layer.
What you don't see: How many users were mid-payment when it happened. How many abandoned their purchase after the failed attempt. Whether this is causing a measurable drop in completed transactions. New Relic tells you an API is timing out - it doesn't tell you that this is a payment flow problem affecting real revenue. Connecting the technical error to a business outcome requires correlating API logs with transaction records manually or configuring Business Observability (Pathpoint) as a separate layer. Meanwhile, users are quietly losing trust in your checkout, and the release stays live.
With Appxiom
What you see: Appxiom monitors the actual [payment_flow] user journey. The GFI dashboard shows:
- Goal Attempts vs. Failures: How many users initiated a payment on the new version, and exactly how many failed at the confirmation step.
- Affected Installations: The number of unique devices that hit the API timeout during the payment journey, segmented by app version.
- App Drop-Off: The count of users who abandoned the purchase entirely after the failed attempt - not just the error count, but the lost transactions.
- Root-Cause Issue List: The exact issue type (API timeout) tied to that specific goal failure in that specific version.
The resolution: Within hours, you see what percentage of payment attempts failed at confirmation and how many users abandoned their purchase entirely. You know it's a revenue-blocking bug - not just a backend error - before finance flags the dip in transaction volume. The fix gets prioritized the same day.
Why This Difference Matters
Same bug. Completely different picture. New Relic tells you an API is failing. Appxiom tells you how many users couldn't complete a payment because of it - and how many gave up.
Prioritize by business impact:
You fix the payment bug first because you can see it's blocking transactions - not because it happened to cross an error-rate threshold.
No manual correlation:
Appxiom connects the technical issue to the user journey automatically. No log diving, no custom instrumentation, no separate observability module to configure.
Version-by-version clarity:
Spot immediately when a new release caused a spike in failed payments or abandoned transactions, and ship the fix with confidence.
Frequently Asked Questions
Fix What Matters. Start Today.
Join teams who use Appxiom to fix the bugs that actually matter - the ones quietly hurting users and revenue.