Author
Full name
Job title, Company name
Integrating wearables data seems straightforward until you start building. Each device manufacturer offers their own API with unique authentication flows, data formats, and rate limits. What looks like a simple integration quickly becomes a complex web of different endpoints, OAuth implementations, and data normalization challenges.
Consider what happens when you want to support the most popular wearables. You'll need separate integrations for Apple HealthKit, Google Health Connect, Fitbit, Garmin, Oura, and potentially dozens of others. Each requires different implementation approaches, testing strategies, and most importantly – ongoing maintenance.
The technical complexity multiplies when you factor in data consistency. Heart rate data from an Apple Watch arrives in different units and formats than the same metric from a Garmin device. Your infrastructure will need to normalize this data while maintaining accuracy and handling edge cases like missing data points or device sync delays.
That’s why correct wearables API selection is critical. The right choice accelerates development, while the wrong one can derail your entire project timeline and cause costs to skyrocket.
You have two primary approaches for wearable data integration: connecting directly with each device provider via API or SDK, or using a unified wearables API that aggregates multiple wearables through a single interface.
Building direct integrations gives you complete control over the user experience and data handling. You implement each manufacturer's API or SDK, manage their specific authentication requirements, and handle data processing exactly how you want.
However, this approach requires significant development resources. You'll need to:
The maintenance burden grows with each additional wearable you support. Every manufacturer update, new device release, or API change requires dedicated engineering attention.
Unified wearable API platforms solve the complexity problem by providing a single integration point for multiple devices. Instead of managing dozens of different providers, you integrate once and gain access to hundreds of wearables.
Platforms like Spike API handle the heavy lifting: OAuth flows, data normalization, rate limit management, and ongoing API maintenance. This means your development team can focus on creating user value rather than wrestling with integration challenges.
“Spike gave us a huge shortcut. It would've taken months to get wearables working right — and even then, we'd still have to maintain them. Now we just build on top,” Kevin Lam, from Built With Science, describes his experience with Spike.
Spike's pricing scales with your success, making it accessible for startups while providing enterprise-grade reliability for larger applications. The platform now offers an all-in-one SDK that supports multiple development frameworks including Kotlin, Swift, Flutter, and React Native, significantly reducing both development time and costs. Advanced features like background delivery support for Android, Samsung Health, Huawei Health, and iOS ensure seamless data collection at all times.
Key evaluation criteria
When evaluating wearable API options, focus on factors that directly impact your development timeline and user experience.
The best wearables API means nothing if it doesn't support the devices your users actually wear. Evaluate platforms based on their coverage of popular consumer wearables, including fitness trackers, smartwatches, and specialized health devices.
Spike wearables API integrates with 500+ devices and apps, covering major brands like Garmin, Fitbit, Oura, Apple HealthKit, and Whoop, with recent additions including COROS, Ultrahuman, Huawei Health, and Samsung Health. This broad coverage ensures you can serve most users without forcing them to switch devices.
Look for platforms that regularly add new device support without requiring changes to your integration setup. The wearable market evolves rapidly, and your API choice should evolve with it through direct API approaches that enable richer metrics without additional development overhead.
Different wearables excel at different types of data collection. Some focus on activity tracking, others prioritize sleep analysis or heart rate monitoring. Your API platform should provide access to the specific metrics your app needs.
Consider both the breadth of available data types and the granularity of that data. Heart rate monitoring requires different API capabilities than daily step counts. Ensure your chosen solution can deliver data at the frequency and detail level your features require.
Spike API already offers enhanced health metrics including VO₂ Max, ECG, weight, sleep data, and more. Advanced analytics features like Sleep Score combine detailed sleep metrics to offer quick snapshots of sleep quality, while Stress and Activity Scores provide deeper health insights for your users.
User onboarding makes or breaks wearable integrations. Complex authentication flows create friction that prevents users from connecting their devices. Look for platforms that streamline the connection process while maintaining security standards.
Wearable data arrives in different formats, units, and structures depending on the source device. Your chosen wearables API platform should normalize this data into consistent formats that your app can rely on.
Testing is crucial, focusing on functionality, performance, and security when evaluating API reliability. Look for platforms that provide consistent uptime, handle device sync delays gracefully, and offer clear documentation about data accuracy and limitations.
Your wearable integration needs to scale with your user base. Evaluate API platforms based on their ability to handle increased load, rate limiting policies, and data processing capabilities.
Consider both current needs and future growth. An API that works well with a few hundred users might struggle as you scale to thousands. Look for platforms with proven track records at enterprise scale.
Your choice between direct integration and unified wearables API significantly impacts development timelines.
Building direct integrations with multiple wearable APIs typically requires several months of development work. You'll need to:
This approach makes sense if you have the resources to spend time on ongoing maintenance and API upgrades.
Unified wearable APIs can reduce implementation time to days or weeks rather than months. Most platforms provide in-depth documentation, SDKs for popular development frameworks, and support teams to assist with integration and ongoing maintenance.
The faster time-to-market often justifies the ongoing costs through earlier revenue generation and competitive advantages.
For most development teams, the choice comes down to resource allocation and strategic priorities. Do you want to invest engineering time in wearable integration maintenance, or focus those resources on features that differentiate your product?
Choose direct integration if you:
Unified wearable APIs work best when you:
The right wearable API choice accelerates your development timeline while ensuring your users can connect their favorite devices seamlessly. Whether you choose direct integration or a unified wearables API depends on your specific requirements, resources, and strategic priorities.
Spike’s wearables & IoT API offers full wearable device integration support for 500+ popular fitness trackers, smartwatches, and health devices. With over 200 healthcare organizations already leveraging unified wearable APIs and billions of data points being processed daily, the infrastructure exists to support applications of any scale. From startups building their first health app to enterprises requiring AI-ready data pipelines.
Ready to see how quickly you can scale by adding wearable integrations to your app? Book a demo or check out our documentation.
Direct wearable integration means connecting individually with each device manufacturer's API (like Apple HealthKit, Fitbit, Garmin). While this gives you maximum control, it requires separate implementations for each device and ongoing maintenance. A unified wearables API like Spike API provides a single integration point that connects to multiple devices simultaneously, dramatically reducing development time from months to weeks while ensuring consistent data formats across all supported wearables.
Choose a unified health data API such as Spike API if you want to support multiple devices quickly, need predictable development timelines, prefer to focus engineering resources on core features, or require enterprise-grade reliability. Most development teams benefit more from unified platforms that handle the complexity of wearable integration while providing broader device support.
Unified wearables API platforms normalize data from different manufacturers into consistent formats. For example, heart rate data from an Apple Watch and Garmin device arrive in different units and structures, but platforms such as Spike API converts everything into standardized formats your app can rely on. This eliminates the need to build custom data processing logic for each device type.
With direct wearable integration, you must maintain separate codebases, monitor manufacturer API changes, handle deprecations, and update authentication flows for each supported device. This requires dedicated engineering resources. Unified wearables API platforms like Spike API handle maintenance automatically, including API updates, new device support, and authentication changes. This allows your team to focus on app development rather than integration maintenance.
Choose a wearables API platform like Spike API with proven scalability that can handle increased load as your user base grows. Look for platforms processing billions of data points daily with enterprise-grade infrastructure.