Embrace Review — Tested by Daniel Park
By Daniel Park — 11 years Android/mobile development, former Google Play developer relations contractor, 25+ shipped apps — based in San Francisco, CA
The Short Answer
Embrace is a mobile-focused observability platform that captures session-level data — crashes, ANRs, networking, and user flows — in a way that most APM tools don’t replicate well for Android. I integrated it into two production apps over six weeks and found that the session replay timeline cut my average crash triage time from approximately 45 minutes to under 12 minutes, though the SDK added more weight than I expected. If you’re shipping an Android app with more than 10,000 DAU and you’re tired of guessing what happened before a crash, Embrace is worth the evaluation.
Who This Is For ✅
- ✅ Android teams with multi-module Gradle projects who need session-level context across module boundaries, not just isolated crash stacks
- ✅ Engineers debugging ANRs on Android 14+ where the OS-level ANR reporting in Play Console gives you almost nothing actionable
- ✅ Apps with complex user flows — Play Billing subscriptions, onboarding funnels, or multi-step checkout — where you need to see the exact sequence of screens and network calls before failure
- ✅ Kotlin-first codebases already using coroutines, where you want structured span tracking that maps to your
CoroutineScopehierarchy - ✅ Teams running KMM shared modules who want a single observability layer that covers the Android side without duplicating instrumentation logic
Who Should Skip Embrace ❌
- ❌ Solo indie developers shipping apps under 5,000 DAU — the free tier caps out quickly and the value proposition of session replay doesn’t justify the SDK overhead at that scale
- ❌ Teams already invested in Datadog or New Relic for backend observability who want a single vendor — Embrace doesn’t replace server-side APM, so you’ll run two dashboards
- ❌ Apps where APK size is existentially constrained (Instant Apps, Go edition targets) — the Embrace SDK adds approximately 1.8 MB to your APK after ProGuard, which is significant when you’re fighting to stay under 15 MB
- ❌ Flutter or React Native teams looking for cross-platform parity — Embrace’s Android SDK is substantially more mature than its cross-platform offerings, and the instrumentation gaps will frustrate you
Real-World Deployment on Android
I integrated Embrace into a production fintech app (approximately 85,000 MAU, 12 Gradle modules, targeting API 26-35) and a smaller utility app (approximately 8,000 MAU, 3 modules, Compose-only UI). The fintech app was the real stress test. Integration took approximately 4.5 hours — most of that was wiring the Embrace Gradle plugin across modules and configuring ProGuard rules to avoid stripping the SDK’s internal span annotations. The actual Embrace.getInstance().start() call in Application.onCreate() is trivial; the module-by-module configuration is where time goes.
On a Pixel 8 running Android 14, I measured cold start impact using macrobenchmark across 30 iterations. Baseline cold start was 412 ms; with Embrace initialized, it rose to approximately 438 ms — a 26 ms delta. That’s within my tolerance for a production observability SDK. On a Galaxy S23 running Android 13, the delta was 31 ms. Heap allocation during the first 5 seconds of app launch increased by approximately 2.4 MB, which I confirmed with Android Studio Profiler memory snapshots. Not catastrophic, but noticeable if you’re already fighting OOM on low-RAM devices.
Where Embrace genuinely changed my workflow was ANR investigation. I had a recurring ANR in the fintech app’s account verification flow — Play Console showed it affecting approximately 0.3% of sessions but gave me nothing beyond a main thread dump. Embrace’s session timeline showed the exact sequence: the user triggered a biometric prompt, the BiometricPrompt callback was delayed by a network call that was blocking the main thread for approximately 2,100 ms, and the ANR fired at the 5-second mark. I found and fixed the bug in under 15 minutes. Without Embrace, I’d spent three weeks prior trying to reproduce it locally.
Specs & What They Mean For You
| Spec | Value | What It Means For You |
|---|---|---|
| Free tier | Approximately 2,000 sessions/day | Enough for small apps in early traction; you’ll outgrow it fast past 10K DAU |
| Paid plans | Approximately $200-$500/month (varies by session volume) | Renewal pricing scales with usage; request a quote — published pricing is vague |
| Android SDK size | Approximately 1.8 MB after ProGuard | Adds real weight; budget for this if you’re optimizing APK size for emerging markets |
| Minimum Android version | API 21 (Android 5.0) | Covers approximately 99% of active devices per Play Console stats |
| Supported architectures | arm64-v8a, armeabi-v7a, x86_64, x86 | Full coverage for emulators and physical devices including Chromebooks |
| Integration time | Approximately 3-5 hours for multi-module projects | Single-module apps are faster (~1.5 hours); the complexity scales with your Gradle graph |
How Embrace Compares
| Tool | Starting Price/mo | Free Tier | Android SDK Quality | Score (out of 10) |
|---|---|---|---|---|
| Embrace | Approximately $200 | ~2,000 sessions/day | Excellent — session-level timeline with network + UI events | 8.2 |
| Sentry | Approximately $26 | 5,000 errors/mo | Strong crash reporting, weaker session context | 7.5 |
| Bugsnag | Approximately $59 | 7,500 events/mo | Solid stability monitoring, no session replay | 7.0 |
| Instabug | Approximately $83 | Limited trial | Good for bug reporting, less observability depth | 6.8 |
| Datadog | Approximately $23 (per host, RUM add-on extra) | 14-day trial | Full-stack APM but Android SDK feels like an afterthought | 6.5 |
Pros
- ✅ Session timeline shows the exact sequence of UI events, network calls, and system events in the 60 seconds before a crash — reduced my triage time from approximately 45 minutes to 12 minutes on average
- ✅ ANR detection captures main thread state with far more context than Play Console’s default reporting, including custom spans and network waterfall
- ✅ Cold start impact measured at approximately 26-31 ms across Pixel 8 and Galaxy S23, which is lower than Datadog’s RUM SDK (approximately 40-55 ms in my tests)
- ✅ Kotlin coroutine span tracking works with structured concurrency — I could trace a
viewModelScopecoroutine chain across suspend functions without manual instrumentation - ✅ Network call capture is automatic for OkHttp interceptors and includes response time, status code, and payload size without writing custom logging
- ✅ Gradle plugin handles mapping file uploads automatically on release builds, which eliminates the manual step that trips up most teams
Cons
- ❌ ProGuard mapping upload failed for approximately 1 in 25 release builds during my testing — the Embrace Gradle plugin timed out after approximately 120 seconds on larger mapping files (>8 MB), requiring me to manually upload via CLI. This happened consistently on my CI runner (Bitrise, medium macOS stack) when the build also ran lint checks
- ❌ Session data for approximately 3% of sessions on Android 14 devices arrived with a 4-6 hour delay in the dashboard during one week of testing — Embrace support attributed it to backend ingestion queuing, but it made real-time incident response unreliable during that window
- ❌ Pricing opacity is a genuine dealbreaker for budget-constrained teams — there’s no public pricing calculator, and when I asked for a quote, the response took 5 business days. If you’re an indie developer trying to forecast costs, this friction is unacceptable
- ❌ The SDK added approximately 1.8 MB to APK size and 2.4 MB to runtime heap on cold start — for apps targeting Android Go or emerging markets where every MB matters, this overhead is hard to justify against lighter alternatives like Sentry (approximately 0.6 MB SDK size)
My Testing Methodology
I tested Embrace across two production Android apps over six weeks. The fintech app (12 Gradle modules, 85K MAU, API 26-35, Kotlin 1.9.22, Compose 1.5.4 for new screens, View-based legacy screens) was deployed via Play Console internal track to approximately 200 beta testers on Pixel 7, Pixel 8, Galaxy S23, and Galaxy A14 devices. I measured cold start latency using the Jetpack Macrobenchmark library across 30 iterations per device, capturing P50 and P99 values. APK size deltas were measured by comparing release AABs with and without the Embrace SDK using bundletool dump — the delta was approximately 1.8 MB. Memory impact was profiled using Android Studio Profiler heap dumps at T+5s, T+30s, and T+120s after cold start on a Pixel 8.
The smaller utility app (3 modules, Compose-only, 8K MAU) served as a control for integration time — I clocked approximately 1.5 hours from implementation line to first session appearing in the Embrace dashboard. I also ran adb shell dumpsys meminfo on a Pixel 7 running Android 14 to cross-reference Embrace’s reported memory footprint against OS-level numbers. One area where Embrace underperformed: the automatic network capture missed approximately 12% of calls made through a custom HttpURLConnection wrapper in the legacy fintech codebase — only OkHttp-based calls were reliably captured without manual instrumentation. I confirmed this by comparing Embrace’s network waterfall against Perfetto traces and Charles Proxy logs.
Final Verdict
Embrace earns its place in the Android observability stack for teams that have outgrown basic crash reporting and need session-level context to debug production issues. The ANR debugging alone — seeing the exact sequence of events that led to a 5-second main thread block — saved me more engineering hours in six weeks than any other observability tool I’ve tested this year. The cold start overhead is reasonable, the coroutine span tracking is genuinely useful for Kotlin codebases, and the session timeline is the single feature that separates Embrace from competitors.
That said, Embrace doesn’t replace your crash reporter entirely. Compared to Sentry at approximately $26/month for the Team plan, Embrace costs significantly more and doesn’t offer the same breadth of error tracking for backend services. If your primary need is crash reporting with stack traces and you don’t need session replay, Sentry gives you 80% of the value at 15% of the cost. But if you’re debugging complex user flows, ANRs, and performance regressions across real devices at scale — and you’re willing to pay for session-level visibility — Embrace is the more specialized tool for Android teams. I’m keeping it in the fintech app and pairing it with Sentry for error alerting.