React Native vs Native: Choosing the Right Mobile Stack for a Driver-Tracking App

Why Driver-Tracking Apps Are a Harder Category Than They Look

Most mobile apps can tolerate some inefficiency — a slightly slower screen transition, a background task that isn't perfectly optimised. A driver-tracking app can't, because it's fundamentally fighting two constraints simultaneously: it needs to keep streaming location data reliably for hours at a time, while a driver's phone is also running navigation, music, and everything else they use during a shift. Get the background location handling wrong and you either drain the driver's battery so fast they turn the app off, or you silently stop tracking the moment the app backgrounds, which defeats the entire point.

This is the lens we use for every "React Native or native?" decision on a tracking or delivery app — not "which is faster to build," but "which handles background location and battery constraints most reliably."

Where React Native Genuinely Works Well

For the majority of a driver app — order lists, accepting/rejecting jobs, navigation hand-off to Google/Apple Maps, in-app messaging, the driver's own settings and earnings screens — React Native is a legitimate, fast choice. It shares a single codebase and a large majority of business logic across iOS and Android, which matters a lot for a project where the driver-facing app is one piece of a larger platform (web ordering, restaurant/operator dashboard, customer tracking page) already being built by the same team.

Expo's managed workflow plus EAS Build handles the app-store submission pipeline well, and over-the-air (OTA) updates mean bug fixes to JavaScript logic can ship without waiting for App Store/Play Store review — genuinely valuable when a driver-facing bug needs fixing same-day, not in three days once Apple reviews the update.

Where We Reach for Native Modules Anyway

The background location piece is where "just use React Native for everything" stops being good advice. Background GPS tracking on iOS and Android behaves very differently at the OS level — iOS aggressively restricts background execution and has specific APIs (significant-location-change monitoring, background location modes) that need to be configured correctly to avoid the OS silently killing the tracking; Android's battery optimisation and manufacturer-specific background restrictions (looking at you, some Android OEM battery managers) require their own handling.

For this specific piece, we typically reach for a well-maintained native module (rather than hand-rolling raw native code) that wraps the platform-specific background location APIs correctly, rather than relying on a generic cross-platform location library that treats iOS and Android as if they behave the same way. They don't, and pretending otherwise is exactly how tracking apps end up with "it works in testing but silently stops tracking after twenty minutes in the field" bugs — which are painful to diagnose because they only show up in real-world usage, not in a simulator sitting on a desk with the screen on.

Batching Location Updates Properly

A genuinely common mistake: streaming every single GPS coordinate update to the server the instant it's received. This looks fine in a demo and falls apart in production — it drains battery fast, generates far more network traffic than the customer-facing tracking map actually needs (nobody needs their delivery driver's position updated every half-second), and adds server load for no real product benefit.

We batch location updates — collecting a few readings client-side and sending them on a sensible interval (typically every 5–15 seconds depending on the use case), with more frequent updates only when the driver is close to the delivery destination and the "almost there" moment actually matters to the customer watching the tracking page.

Push Notification Reliability

The other place native platform differences bite: push notification delivery guarantees differ between iOS (APNs) and Android (FCM), and a driver app absolutely cannot afford to miss "new order available" notifications — that's lost revenue for the driver and a slower delivery for the customer. This needs proper platform-specific push configuration (not just "add a push library and hope"), including handling notification delivery when the app is fully closed, not just backgrounded.

Testing in the Field, Not Just in the Office

The failure mode that catches teams out most often with tracking apps: everything works perfectly in the office, on the office wifi, with the screen on and the app in the foreground — and then falls apart in the field, where a driver's phone is in a pocket or mounted on a dashboard, the screen is off most of the time, and connectivity swings between full signal and dead zones multiple times per delivery run. We treat "test it on a real delivery route, with the screen off, over a full shift" as a mandatory step before calling background location tracking done — not optional polish, because it's the only way most of the actual failure modes (silent tracking drop-off after the OS decides to suspend the app, GPS drift in urban canyons between tall buildings, notification delivery delays on real cellular networks rather than office wifi) ever surface at all.

Offline-First Order Handling

Delivery drivers regularly move through poor-signal areas — basements, rural roads, densely built-up areas where a stable data connection isn't guaranteed. An app that requires a live connection to function at all will fail exactly when a driver needs it most — mid-delivery, with an order they've already picked up. We design the driver app to work offline-first for the actions that matter most: accepting an order, marking pickup, and marking delivery all need to work and persist locally even with zero connectivity, syncing to the server the moment connectivity returns rather than blocking the driver's workflow while waiting for a network response that might not come for several minutes.

Device Fragmentation Is Still a Real Problem

It's tempting to assume modern smartphones are all roughly equivalent, but driver-facing apps in particular have to contend with a wide spread of device ages and capabilities — drivers are often using whatever phone they already own, not a company-issued flagship device. Older Android devices with less aggressive but also less capable background process management, weaker GPS chipsets giving noisier location readings, and smaller batteries that make the battery-drain concerns above even more pressing all need to be accounted for in testing, not just the latest iPhone sitting on a developer's desk. We deliberately test on a spread of low-to-mid-range Android devices alongside the newest hardware, specifically because a driver fleet's actual device mix rarely matches what ships in a demo.

Our Actual Default

For a typical driver-tracking or delivery app, built and shipped to real drivers rather than just demoed: React Native (via Expo) for the majority of the app, with a dedicated, well-tested native module for background location specifically, careful platform-specific push notification configuration, and deliberate location-batching logic rather than naive real-time streaming. This gets the development-speed benefit of a shared codebase where it doesn't cost reliability, while treating the two or three genuinely platform-sensitive pieces (background location, push delivery) with the platform-specific care they actually need.

If you're building a delivery, field-service, or logistics app that needs real driver tracking, [get in touch](/contact) — this is a category we've built in more than once, tested on real delivery routes rather than office wifi, and have strong opinions on what actually works in the field, not just in a demo.