Commercial APIs vs Self-Hosted Map Matching Engines
Commercial API Options
Cloud providers offer map matching APIs: send GPS trace, receive matched path. Pricing typically per 1000 requests or per kilometer matched. No infrastructure to manage. Map data updated automatically. Good for prototyping and moderate scale.
Advantages: fast integration, maintained map data, global coverage, tuned algorithms. Disadvantages: per-request cost adds up at scale, latency to external API, dependency on third party availability.
Self-Hosted Engines
Open-source map matching engines can run on your infrastructure. OSRM (Open Source Routing Machine) and Valhalla are popular options. Use OpenStreetMap data or licensed commercial map data. Control latency, cost, and customization.
Advantages: fixed infrastructure cost regardless of volume, low latency (same datacenter), customizable algorithms, no external dependency. Disadvantages: operational burden, map data management, tuning complexity.
Cost Break-even Analysis
Commercial APIs charge per request. Self-hosted has fixed server cost. At low volume, API is cheaper. At high volume, self-hosted wins. Calculate your volume and compare.
Example: if API costs $1 per 1000 matches and you do 10 million matches per month, that is $10,000 monthly. A self-hosted cluster might cost $3,000 monthly. But you also need engineering time for setup and maintenance. Factor that in.