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Replace Amplitude RAM-only event queue

Replace Amplitude with a RAM-only event queue

Migrate from Amplitude to a RAM-only event queue. Zero bytes written to disk for analytics. Helps developers avoid collecting personal data.

Example Amplitude call (the "before")

js Respectlytics
import { Amplitude } from '@amplitude/analytics-react-native';

await Amplitude.init('YOUR_API_KEY', userId, {
  trackingOptions: { ipAddress: true, language: true, platform: true },
});

await Amplitude.identify({
  email: email,
  plan: 'pro',
});

await Amplitude.track('Paywall Purchase', { value: price, currency: 'USD' });

Most analytics SDKs back the unsent event queue with SQLite or UserDefaults / SharedPreferences — so a phone that's been confiscated, jailbroken, or restored from backup still contains analytics state. Respectlytics's queue is RAM-only, flushed on a 30-second timer; unsent events on force-quit are lost by design, in exchange for zero on-device forensic surface.

Remove Amplitude cleanly

  1. 1

    Remove the Amplitude SDK from your build (CocoaPods / SPM / Gradle / npm / pub)

  2. 2

    Remove Amplitude.initialize(...) and track(...) call sites — replace with Respectlytics.configure() and Respectlytics.track("event_name")

  3. 3

    Audit for Identify operation usage — those set per-user properties; remove them

  4. 4

    If you used Amplitude Experiment for feature flags, plan a separate migration (e.g., GrowthBook or LaunchDarkly) — Respectlytics is analytics, not flagging

  5. 5

    Confirm IDFA / AAID surfaces in your Info.plist + AndroidManifest are no longer needed by other SDKs before removing them

Amplitude vs Respectlytics — ram-only event queue

AmplitudeRespectlytics
Event queue persistenceSQLite / UserDefaults / SharedPreferencesIn-memory ring buffer
Disk usage for analytics0.5–10 MB typical0 bytes
Forensic data on jailbroken / rooted devicesPersistent identifiers + queued eventsNone
Survives force-quit before flushYesNo (events lost — by design)

Frequently asked questions

Doesn't this reduce data quality?

Marginally — typical force-quit-before-flush event loss is 0.5–2% depending on platform. For aggregate metrics (funnel rates, feature adoption, release deltas) this is invisible. For per-event reconciliation it would be a problem, but per-event reconciliation isn't a use case Respectlytics supports.

What's the actual flush cadence?

30 seconds by default, plus a flush on applicationDidEnterBackground (iOS) / onPause (Android). Most events reach the network within seconds of being fired.

Is this safe for crash analytics?

Crash analytics is a separate concern — use Sentry, Crashlytics, or Bugsnag (with their own crash-aware queues). Respectlytics is product analytics; crash data has different recoverability requirements and lives in different tools.

Why is this a privacy feature?

Devices that are jailbroken, rooted, restored from backup, or forensically imaged routinely surface analytics artifacts — distinct_ids, queued events, user properties — that survive uninstall in some cases. RAM-only storage moves the dump-recovery surface to zero.

Related migration guides

Track what matters. Collect nothing you don't.

Five-field event schema, RAM-only event queue, no IDFA, no AAID, no persistent user IDs. Helps developers avoid collecting personal data in the first place.