▸Example Firebase Analytics call (the "before")
import FirebaseAnalytics
// Default Firebase event with rich per-user metadata:
Analytics.logEvent("purchase", parameters: [
"value": price,
"currency": "USD",
"transaction_id": UUID().uuidString,
"user_id": userId,
])
Regulated industries — telehealth, fintech, government, defence — frequently require that analytics data never leave operator-controlled infrastructure. Respectlytics's self-hosted option (AGPL-3.0 server + MIT-licensed SDKs) lets you run the entire analytics stack on your own hardware. The SDK is the same; only the API endpoint changes.
☑Remove Firebase Analytics cleanly
-
1
Remove
pod 'Firebase/Analytics'fromPodfile(and anyFirebase/Corepulled by it that isn't needed elsewhere) -
2
Remove
implementation 'com.google.firebase:firebase-analytics-ktx'frombuild.gradle.kts -
3
Remove
@react-native-firebase/analyticsfrompackage.json -
4
Remove
firebase_analytics:frompubspec.yaml -
5
Remove
FirebaseApp.configure()andAnalytics.logEventcall sites — replace withRespectlytics.configure()andRespectlytics.track("event_name") -
6
Delete the
GoogleService-Info.plistandgoogle-services.jsonif no other Firebase product remains in the app -
7
Run
./gradlew :app:dependenciesand confirmplay-services-ads-identifieris no longer in the runtime classpath
⇋Firebase Analytics vs Respectlytics — self-hosted deployment
| Firebase Analytics | Respectlytics | |
|---|---|---|
| Self-hostable | — see tool note above (typically no) | Yes (AGPL-3.0 server) |
| Operator-managed database | — typically no | Yes (you choose Postgres deployment) |
| Air-gapped deployment possible | No | Yes |
| SDK license | — varies | MIT (permissive) |
| Server license | — typically closed | AGPL-3.0 (source-available) |
❓Frequently asked questions
What's the AGPL-3.0 obligation in practice?
If you modify the server source AND offer the modified server as a service to third parties over a network, you must publish your modifications under the same license. Internal self-hosting for your own apps does NOT trigger publication obligations. Consult your legal team for specific applicability.
What infrastructure do we need?
A Linux host (or container) running Python 3.12 + Postgres 14+ + a reverse proxy (nginx / Caddy). The default configuration scales to ~10 million events/day on a 4-vCPU / 8 GB box; larger deployments scale horizontally. See the public README for hardware sizing guidance.
Do we get updates automatically?
No — self-hosted deploys pull the latest source and run migrations on a cadence you control. We publish release notes for each version. No auto-update; you decide when to upgrade.
Are the SDKs AGPL too?
No — SDKs are MIT-licensed. Fork and modify freely with no copyleft obligation. Only the server is AGPL.