▸Example Kochava call (the "before")
import KochavaTracker
KochavaTracker.shared.registerWithAppGUID("YOUR_APP_GUID")
let event = KochavaEvent(eventTypeEnum: .purchase)
event.appStoreReceiptBase64EncodedString = receiptBase64
event.priceDoubleNumber = NSNumber(value: price)
event.currencyString = "USD"
event.userIdString = userId
KochavaTracker.shared.send(event: event)
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 Kochava cleanly
-
1
Remove
pod 'KochavaTracker'fromPodfile -
2
Remove
implementation 'com.kochava.tracker:tracker:...'frombuild.gradle -
3
Remove
react-native-kochava-trackerfrompackage.jsonif used -
4
Remove
KochavaTracker.shared.registerWithAppGUID(...)andsendEvent(...)call sites -
5
Remove
NSUserTrackingUsageDescriptionfromInfo.plistif Kochava was the only ATT-needing SDK -
6
Remove
AD_IDpermission from the merged Android manifest if no remaining SDK contributes it
⇋Kochava vs Respectlytics — self-hosted deployment
| Kochava | 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.