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Replace Flurry RAM-only event queue

Replace Flurry with a RAM-only event queue

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

Example Flurry call (the "before")

swift Respectlytics
import Flurry_iOS_SDK

let builder = FlurrySessionBuilder.init()
    .withAppVersion("1.0")
    .withLogLevel(FlurryLogLevelAll)
    .withCrashReporting(true)
Flurry.startSession(apiKey: "YOUR_FLURRY_KEY", sessionBuilder: builder)

Flurry.log(eventName: "Purchase", parameters: [
    "user_id": userId,
    "value": String(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 Flurry cleanly

  1. 1

    Remove pod 'Flurry-iOS-SDK/FlurrySDK' from Podfile

  2. 2

    Remove implementation 'com.flurry.android:analytics:...' from build.gradle

  3. 3

    Remove react-native-flurry-analytics from package.json if used

  4. 4

    Remove Flurry.builder().build(...) initialisation and Flurry.logEvent(...) call sites

  5. 5

    If you used Flurry's Configuration Provider for remote config, plan a separate migration (e.g., Firebase Remote Config, GrowthBook)

  6. 6

    Delete the Flurry app entry once events stop flowing (the dashboard may already be sunset by the time you migrate)

Flurry vs Respectlytics — ram-only event queue

FlurryRespectlytics
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.