🔥 Firebase Alternative

Looking for a
Firebase Analytics Alternative?

Developers switch from Firebase for privacy concerns, simpler compliance, and automated insights. See why Respectlytics might be the alternative you're looking for.

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Common Reasons Developers Switch

These are the issues we hear most often from developers evaluating Firebase alternatives

📱

Device ID Collection

Firebase collects IDFA, IDFV (iOS) and GAID (Android) by default. These are considered personal data in many jurisdictions.

Firebase: Requires setAnalyticsCollectionEnabled(false) to disable, then manually re-enable after consent.

📝

PII Leak Risk

Firebase allows unlimited custom event properties. One developer mistake can leak emails, usernames, or other PII into analytics.

Risk: logEvent("purchase", {user_email: "..."}) creates compliance liability.

🔧

Manual Configuration

Firebase requires you to manually define conversion events, funnels, and audiences. You're guessing which paths matter.

Time sink: Hours spent configuring funnels that may not represent real user behavior.

⚖️

Consent Complexity

Firebase provides setConsent() API but you must implement the consent flow, track state, and handle withdrawals.

Your responsibility: Building consent UI, storing preferences, syncing across devices.

📊

BigQuery Requirement

Advanced analysis requires BigQuery export. This means managing another Google Cloud service with its own costs and complexity.

Hidden cost: BigQuery queries can add up quickly with high-volume apps.

🔗

Cross-Device Tracking

Firebase encourages setUserId() for cross-device tracking. This creates persistent user profiles with compliance implications.

Implication: Subject access requests must include Firebase data linked by user ID.

What Makes a Good Alternative?

Before choosing any Firebase alternative, consider these criteria

🛡️

Privacy by Design

Privacy shouldn't be an afterthought. Look for tools that minimize data collection by architecture, not just policy.

⚡

Native SDK Support

Native SDKs for your platform (Swift, Kotlin, Flutter, React Native) with modern framework support like SwiftUI and Jetpack Compose.

🤖

Automated Insights

Modern analytics should discover insights automatically. Manual funnel setup is a relic of the past.

🚀

Simple Migration

Switching analytics shouldn't require a month of engineering. Look for familiar APIs and clear migration guides.

How Respectlytics Addresses These

A different approach to mobile analytics

✅

No Device ID Tracking

Respectlytics never collects IDFA, IDFV, GAID, Android ID, or any device fingerprints. This isn't a setting you need to configure—it's architecturally impossible.

Instead, we use session-based analytics with 2-hour rotating session IDs stored only in device RAM. Each app restart creates a new session.

Session ID Architecture

// Session ID lifecycle:
Session ID = randomUUID()  // Generated at SDK init
Storage = RAM only         // Never persisted to disk
Rotation = 2 hours         // Auto-rotates if active
App Restart = New ID       // Fresh session each launch

// What we DON'T collect:
IDFA / IDFV / GAID / Android ID

🛡️

Only 5 Fields Stored

Custom properties are not allowed. The API rejects any request containing extra fields. This makes it technically difficult to accidentally leak PII.

✓ event_name - What happened
✓ session_id - Anonymous, rotating
✓ timestamp - When it happened
✓ platform - ios, android, web
✓ country - 2-letter code only

analytics/privacy_guards.py

# Strict allowlist - enforced at API level
STORED_FIELDS = frozenset({
    'event_name',
    'session_id',
    'timestamp',
    'platform',
    'country',
})

# API rejects requests with extra fields
if extra_fields := request - ALLOWED_FIELDS:
    raise PrivacyValidationError(
        "Custom fields not allowed"
    )

🤖

Automated Conversion Intelligence

No manual funnel setup required. Respectlytics automatically discovers:

→ Conversion paths - Most common routes to conversion
→ Lift scores - Which events boost conversion rates
→ Drop-off points - Where users abandon sessions
→ Time to conversion - Distribution and patterns

Example: Auto-Discovered Lift Scores

view_feature_demo +245% lift

read_pricing_page +180% lift

skip_onboarding -65% lift

5-Minute Migration Checklist

Most teams complete this in under 30 minutes

1

Create Respectlytics Account

Sign up free and create your first app. You'll get an API key immediately.

2

Install Respectlytics SDK

Add the SDK for your platform alongside Firebase (you can run both during transition).

🍎 Swift 🤖 Kotlin 💙 Flutter ⚛️ React Native

3

Map Your Events

Firebase events map directly to Respectlytics events. Just keep the event names.

Firebase

Analytics.logEvent("purchase")

Respectlytics

Respectlytics.track("purchase")

4

Remove Custom Properties

Respectlytics doesn't accept custom properties. Remove them from your track calls. This is intentional—it prevents PII leaks.

5

Validate & Remove Firebase

Run both SDKs for a week. Validate data consistency. Then remove Firebase Analytics when confident.

Side-by-Side Code Comparison

Similar patterns, simpler API

🔥 Firebase Analytics (Swift)

import FirebaseAnalytics

// Configure (must call in AppDelegate)
FirebaseApp.configure()

// Set user ID (creates persistent profile)
Analytics.setUserID("user_12345")

// Track with custom properties
Analytics.logEvent("purchase", parameters: [
    "item_id": "SKU_123",
    "price": 29.99,
    "currency": "USD"
])

// Consent management (your responsibility)
Analytics.setConsent([
    .analyticsStorage: .granted,
    .adStorage: .denied
])

Respectlytics (Swift)

import Respectlytics

// Configure (one line, SwiftUI @main supported)
Respectlytics.configure(appKey: "your_key")

// No user ID - session-based only
// Respectlytics.setUserID(...)

// Track (event name only, no custom properties)
Respectlytics.track("purchase")

// No consent API needed - minimal data by design
// Privacy is architectural, not configurable
// Only 5 fields ever stored

Frequently Asked Questions

Why do developers switch from Firebase Analytics?

Common reasons include: privacy concerns with device ID tracking (IDFA/IDFV/GAID), complexity of managing consent across jurisdictions, unlimited custom properties creating PII leak risks, and the overhead of manual funnel configuration.

How long does it take to migrate from Firebase?

Most teams complete the migration in 15-30 minutes. Respectlytics SDKs use similar patterns to Firebase (configure once, track events), but with a simpler API and no user ID management.

What data does Respectlytics store vs Firebase?

Respectlytics stores exactly 5 fields: event_name, session_id, timestamp, platform, and country. Firebase collects device IDs (IDFA/IDFV), user IDs, IP addresses, and unlimited custom event properties by default.

Can I run Respectlytics alongside Firebase Analytics?

Yes. Many developers run both during a transition period to validate data consistency. Respectlytics SDKs are lightweight and don't conflict with Firebase.

Does Respectlytics work with SwiftUI and Jetpack Compose?

Yes. Respectlytics has native SDKs for Swift (iOS 15+), Kotlin (Android API 26+), Flutter, and React Native, all with modern framework support including SwiftUI and Jetpack Compose.

What analytics features does Respectlytics have that Firebase doesn't?

Respectlytics offers automated conversion intelligence (auto-discovered paths, lift scores, drop-off detection) without manual funnel setup. Firebase requires you to manually define funnels and conversion events.

Ready to Switch?

Start with a free trial. No credit card required. Run alongside Firebase during your transition.

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Firebase vs Respectlytics Comparison → SDK Documentation → Privacy Disclosure Guide →

Looking for a Firebase Analytics Alternative?