Intro
Your company has a great idea for a new mobile app. Which of the three primary development approaches—native, hybrid, or cross-platform—should you use?
Unfortunately, you won’t find a one-size-fits-all formula to follow. Business leaders and experienced developers alike frequently debate the respective merits and drawbacks of each approach. In addition, the field of mobile apps development constantly evolves, further fueling discussions. What’s important to remember is the best path forward for one organization might not be recommended for another.
Business leaders and experienced developers alike frequently debate the respective merits and drawbacks of each approach. The field of mobile app development also keeps changing, further fueling discussions. AI has added a new dimension to the debate: teams now weigh how an app will run machine learning models on the device, and how much of the build itself an AI assistant can take on. What's important to remember is the best path forward for one organization might not be recommended for another.
What is native app development?
Native mobile app development requires developers to build apps from scratch using platform-specific programming languages and tools. For example, developers who code native apps for Google Android write in Java or Kotlin, and developers who code native apps for Apple iOS write in Objective-C and Swift. The same applies to on-device AI: native iOS apps use Apple's Core ML, and native Android apps use Google's ML Kit, each built into its platform's software development kit. As a result, they can tailor-make apps that take full advantage of all their chosen platform's capabilities.
Native development requires additional time and resources but provides excellent performance and user experiences (UXs), including greater customization and personalization. A native approach is mandatory for building highly complex mobile apps, such a product inventory app with heavy data processing, or a gaming app with 3D animations.
What is hybrid app development?
Hybrid app development entails using web-based languages such as CSS, HTML, and JavaScript to code apps that are then executed in a native shell with an embedded web browser. Taking this approach, developers can share backend code, enabling them to create apps quickly and cost-effectively for multiple platforms. An app’s dependence on an embedded browser, however, often results in subpar performance and inconsistent user interfaces (UIs) across systems.
For this reason, your company might limit its discussion around development approaches to native vs. cross-platform app development, but don’t altogether dismiss hybrid app development. It can provide distinct benefits in certain circumstances. For example, if an organization needs to rapidly create and launch a minimum viable product for a pilot project, a hybrid approach is an excellent choice because it can be faster, easier, and more affordable.
What is cross-platform app development?
Cross-platform app development enables reusable, web-based code to be rendered natively across platforms. Developers rely on a cross-platform app development framework to provide the tools, plug-ins, and UI components necessary for “write once, run anywhere” coding. The many frameworks available on the market vary by toolsets, programming languages, platform support, code reusability, ease of learning, documentation, and other factors. Machine learning frameworks fit into this model too. TensorFlow Lite runs on Android, iOS, and embedded devices, and can route inference through Core ML on Apple hardware, so a cross-platform team can add on-device AI without maintaining two separate ML stacks.
By streamlining app development across platforms, this approach can deliver significant cost and time savings and better ROI. Traditionally, cross-platform apps lag native apps in performance and UX, which has made a cross-platform approach more suited to simpler apps, such as employee onboarding and return-to-work apps.
However, when it comes to considering hybrid vs. cross-platform app development, the latter is often preferred. Cross-platform app development frameworks continue to grow in robustness, enabling more consistent and in some cases close-to-native UXs. For instance, because this approach uses web-based code, many retailers adopt it to power fully functioning e-commerce apps across platforms.
How to decide on an app development approach
Quality, cost, and time should be top-of-mind concerns when deciding how to make an app. However, not all organizations can or must dedicate unlimited resources to app development. When choosing between native, hybrid and cross-platform mobile app development, the objective remains to select the method that best balances user needs with business constraints.
Start your evaluation by defining the intended audience for your app. Are they primarily dedicated-platform or cross-platform users? Do they represent distinct demographic or geographic groups? Will they download the app for work, school, pleasure, or other reasons? Do they expect the app to offer the latest features and functions?
Once you’ve defined the target audience, let the following considerations help guide your decision-making.
App complexity
The more complex the app, the more you’ll want to lean into native development. Using Android, iOS, and other systems’ tools, including software development kits (SDKs) and application programming interfaces (APIs), developers can precisely code apps to operate on a specific platform. This results in stellar performance and UX. For instance, developers can use native APIs to direct an app to run UI code on a separate processor thread, enabling swift uploads.
The simpler the app, the more you’ll want to think about hybrid vs. cross-platform app development. Hybrid and cross-platform apps cannot handle ultra-high speeds but can support rich media and provide pleasing UI designs.
Speed and responsiveness
When optimizing apps for specific platforms, a native approach results in apps that set the bar on performance. Downloadable directly to mobile devices, native apps upload quickly when opened. Also, users can instinctively interact with the platform’s distinct UI design using familiar buttons, gestures, and actions.
Apps built using a cross-platform app development framework can provide solid functionality and render a native-like look and feel, but their performance can't match that of native apps built from scratch. Hybrid apps generally offer satisfactory performance but inconsistent UIs.
Time to market
When time is of the essence, cross-platform and hybrid approaches are the stars of development. Using a cross-platform app development framework, developers can quickly program an app with a close-to-native UX, especially if the app doesn’t require customized, personalized features.
A native approach, in contrast, requires lengthy, duplicate development lifecycles to produce versions of the app for different platforms. When considering native vs. hybrid app development, a hybrid approach is appropriate for an app that must be developed quickly but won’t have a long lifetime, such as a pilot or marketing campaign app. If the app will have a long lifetime, a native approach will be worth the extra time dedicated to development.
Customer reach
Native apps are available for download exclusively in platform-dedicated app stores, such as Google Play Store for Android apps and Apple App Store for iOS apps. Cross-platform and hybrid apps can be made available and promoted on multiple app stores. They must go through a time-consuming submission process, but in the long run they can generate greater marketplace visibility. In addition, hybrid apps can boost traction with users who prefer to access an app from a web link rather than downloading it.
Developer expertise
If your company is targeting a broad, diverse audience for its app, it’s become a competitive imperative to offer the app across platforms. If this is the case, a native approach generally requires separate developer teams to concurrently build, test, update, and support different app versions.
With cross-platform and hybrid methods, a single team of web-based developers can create a single, sharable codebase, boosting productivity. The team will need native coding expertise to customize plug-ins and bridges for—and integrate them with—Android, iOS, and other systems.
Development and maintenance costs
Overall, if your company has a limited budget, hybrid or cross-platform app development is the way to go. You can build, test, debug, and update apps simultaneously across platforms. In general, native mobile app development requires more resources to develop and maintain. However, a native approach enables immediate support for new operating system releases. It also offers clear upgrade and migration paths. Other development approaches cannot, and new releases might require modifications to app code.
Hardware access
Native developers can build apps to directly access all device-specific hardware capabilities, such as cameras, microphones, accelerometers, contacts, file systems, and GPS and proximity sensors. That list now includes the neural processing unit (NPU) built into modern phones, known as the Neural Engine on Apple devices. Hardware-accelerated inference on this chip is what allows an app to run a machine learning model in milliseconds without draining the battery. Core ML routes work to the Neural Engine automatically on iOS; on Android, TensorFlow Lite reaches the NPU and GPU through delegates.
Cross-platform and hybrid developers can use APIs, plug-ins, and bridges to facilitate app access to some hardware functions but not at the same speeds. The same holds for AI silicon: a cross-platform app can reach the NPU, with one more layer between the app code and the chip.
AI and machine learning integration
Most mobile apps now include some form of AI, and where the model runs decides how much your development approach matters.
If the app calls a hosted model over an API, the answer is simple: native, hybrid, and cross-platform apps all make the same network request and get the same result. Your choice of approach barely affects what the AI can do.
On-device AI is a different question. Running a model locally means working with the platform's own machine learning frameworks: Core ML on iOS, ML Kit and TensorFlow Lite on Android. Native apps call these directly, with the least overhead between the model and the hardware running it. Cross-platform apps reach the same frameworks through plug-ins and bridges, which works well for most on-device machine learning tasks but adds a layer to debug and maintain. Hybrid apps, running inside an embedded web view, sit furthest from the device's ML runtime and have the most limited access.
Consider how demanding the AI feature actually is. Real-time image classification against a live camera feed, continuous speech recognition, and predictive text all run inference many times per second, and those benefit most from native access to the NPU. Document scanning, receipt capture, barcode reading, and text extraction run on demand rather than continuously, and cross-platform apps handle them well.
On-device processing has two advantages worth weighing regardless of approach. It removes the network round trip, which is often the largest part of an AI feature's response time. And data processed on the phone never reaches a server, which simplifies your obligations for apps handling health, financial, or children's data.
Offline functionality
Many people live or work in regions with low internet connectivity, or they travel frequently by air. Offline or online, native users have access to app functions, including local storage and databases, even when they turn on airplane mode. Downloaded hybrid apps function well offline but cannot refresh data until back online. Depending on the framework used to build them, cross-platform apps can support offline capabilities.
Where an app runs its AI matters here. On-device machine learning keeps working in airplane mode or a dead zone, because the model sits on the phone. An app that calls a cloud AI service stops working the moment connectivity drops, whichever development approach built it.
App security
Security threats increasingly target multiple mobile platforms, jeopardizing the privacy and data of growing numbers of businesses and their customers. Native programming libraries provide developers with tools for creating built-in security features, such as file encryption and intelligent fraud detection, and for debugging code.
Cross-platform and hybrid apps are often seen as more vulnerable because they run on web-based technologies. However, each development framework offers its own tools for configuring app security measures. Regardless of your app development method, support the app with a security-rich, scalable backend infrastructure.
Weighing the pros and cons of app development
Every company has a unique set of considerations driving its app development. Once you clearly define your priorities, you can confidently select the right approach.
Native app development
Pros:
- Superior performance
- Intuitive, customizable UX
- Direct on-device AI and NPU access
- Direct hardware access
- Offline functionality
- Built-in security
Cons:
- Slower time to market
- Nonreusable code
- Limited audience reach
- Reduced developer productivity
- Higher costs
Hybrid app development
Pros:
- Reusable code
- Rapid time to market
- Broad audience reach
- Greater cost efficiencies
- Offline functionality
Cons:
- Slower performance
- Inconsistent, non-customizable UX
- Restricted hardware access
- Increased security configurations
- Limited on-device AI support
Cross-platform app development
Pros:
- Reusable code
- Rapid time to market
- Robust performance
- Close-to-native UX
- Broad audience reach
- Greater cost efficiencies
Cons:
- Limited customization and personalization
- Restricted hardware access
- No offline functionality
- Increased security configurations
- Bridged rather than direct on-device AI access
Follow Power Platform