[{"data":1,"prerenderedAt":218},["ShallowReactive",2],{"footer-learn-links":3,"site-prefooter-cta":13,"blog-\u002Fblog\u002Fwhy-is-your-geocoding-bill-higher-than-it-should-be\u002F":21,"related-blog-\u002Fblog\u002Fwhy-is-your-geocoding-bill-higher-than-it-should-be\u002F":164,"blog-author-\u002Fblog\u002Fwhy-is-your-geocoding-bill-higher-than-it-should-be\u002F":207},[4,7,10],{"title":5,"path":6},"What Is Reverse Geocoding?","\u002Flearn\u002Freverse-geocoding",{"title":8,"path":9},"What Is Geocoding?","\u002Flearn\u002Fgeocoding",{"title":11,"path":12},"What Is an Isochrone?","\u002Flearn\u002Fisochrones",{"id":14,"extension":15,"heading":16,"meta":17,"stem":18,"text":19,"__hash__":20},"site\u002Fsite\u002Fprefooter-cta.yml","yml","Business Outcomes That Fuel Your Growth",{},"site\u002Fprefooter-cta","With Stadia Maps, you build the solutions that matter. Logistics platforms provide accurate ETAs, fleet management apps reduce fuel costs, and emergency dispatch systems improve response times.","XztWiZDFyAC0XCoeYLLQrcyaVmP8uvGWALRS354c9I4",{"id":22,"title":23,"abstract":24,"author":25,"body":26,"description":139,"extension":140,"head":24,"image":141,"imageAlt":142,"keywords":143,"meta":152,"modified":24,"navigation":153,"path":154,"proficiencyLevel":24,"published":155,"rawbody":156,"schemaOrg":24,"schemaType":24,"section":157,"seo":158,"stem":162,"__hash__":163},"blog\u002Fblog\u002Fwhy-is-your-geocoding-bill-higher-than-it-should-be.md","The Hidden Cost of Search: Why Your Geocoding Bill is Higher Than It Should Be",null,"ian-wagner",{"type":27,"value":28,"toc":130},"minimark",[29,33,40,45,54,85,89,92,96,112,116,119,122],[30,31,23],"h1",{"id":32},"the-hidden-cost-of-search-why-your-geocoding-bill-is-higher-than-it-should-be",[34,35,36],"blockquote",{},[37,38,39],"p",{},"Moving from a prototype to a production-level application often reveals a frustrating reality: \"standard\" industry pricing is rarely as simple as it looks. While Google and Mapbox are familiar names, their terms of service are littered with pricing traps and storage restrictions that penalize growth.",[41,42,44],"h2",{"id":43},"the-caching-tax-a-6x-markup-on-your-own-data","The Caching Tax: A 6x Markup on Your Own Data",[37,46,47,48,53],{},"Storage rights are the most significant hidden fee in the ",[49,50,52],"a",{"href":51},"\u002Fblog\u002Fprecision-meets-privacy-consumer-search-experience\u002F","geocoding world",". If you want to save a coordinate to your database for long-term use, most providers charge a massive premium.",[55,56,57,73,79],"ul",{},[58,59,60,64,65,68,69,72],"li",{},[61,62,63],"strong",{},"The Industry Trap:"," Mapbox, AWS, and ESRI often charge between ",[61,66,67],{},"6x"," and ",[61,70,71],{},"8x"," the cost of a regular query if you intend to store the result.",[58,74,75,78],{},[61,76,77],{},"The Google Constraint:"," Google employs complex restrictions that generally forbid caching for anything other than a specific end-user session.",[58,80,81,84],{},[61,82,83],{},"The Stadia Maps Difference:"," We believe in keeping it simple. If you are on a Standard-tier plan or higher, you can cache results as long as your subscription is active. No extra fees, no per-user re-validation, and no permanent storage surcharges.",[41,86,88],{"id":87},"ending-vendor-lock-in","Ending Vendor Lock-In",[37,90,91],{},"Vendor lock-in is another common way costs spiral out of control. For example, Google often prevents you from displaying its geocoding results on a map from another provider. Forced ecosystem loyalty leads to higher long-term costs and less flexibility for your stack. Stadia Maps gives you the freedom to use our data where it makes the most sense for your users.",[41,93,95],{"id":94},"high-volume-performance-without-the-hoops","High-Volume Performance Without the Hoops",[37,97,98,99,103,104,107,108,111],{},"Batch processing should be a tool, not a headache. While Google lacks a dedicated ",[49,100,102],{"href":101},"\u002Fblog\u002Fquickly-geocode-thousands-of-addresses-with-bulk-geocoding\u002F","bulk geocoding API"," and Mapbox limits you to ",[61,105,106],{},"1,000"," queries per request, we built Stadia Maps for scale. Our API processes batches of ",[61,109,110],{},"5,000"," records at a time, reducing round-trip latency and allowing teams to efficiently churn through massive datasets without navigating a maze of technical limitations.",[41,113,115],{"id":114},"solving-the-fat-finger-problem","Solving the \"Fat Finger\" Problem",[37,117,118],{},"Search is only useful if it's resilient. Typos and missing spaces shouldn't break your user experience or your budget through failed API calls. We invest in the \"boring\" parts of search that smaller vendors often overlook, such as robust address interpolation and fuzzy matching. Reliable search mechanics prevent the hidden costs of \"no results found\" errors, keeping your data pipelines clean and your conversion rates high.",[120,121],"hr",{},[37,123,124,125,129],{},"Stop overpaying for your own data. ",[49,126,128],{"href":127},"\u002Fpricing\u002F","View our transparent pricing tiers"," and start scaling without the \"caching tax.\"",{"title":131,"searchDepth":132,"depth":132,"links":133},"",4,[134,136,137,138],{"id":43,"depth":135,"text":44},2,{"id":87,"depth":135,"text":88},{"id":94,"depth":135,"text":95},{"id":114,"depth":135,"text":115},"Google, Mapbox, AWS, and ESRI charge 6-8x more to store a geocoding result than to query it. Here's why the caching tax exists, and how Stadia Maps avoids it.","md","\u002Fimages\u002Fog\u002Fhidden-cost-of-search-geocoding-post.png","The Hidden Cost of Search: Why Your Geocoding Bill is Higher Than It Should Be — Stadia Maps",[144,145,146,147,148,149,150,151],"Geocoding API pricing","geocoding caching","Google geocoding storage restrictions","Mapbox permanent geocoding","vendor lock-in","batch geocoding","address interpolation","fuzzy matching",{},true,"\u002Fblog\u002Fwhy-is-your-geocoding-bill-higher-than-it-should-be","2026-07-20","---\ntitle: \"The Hidden Cost of Search: Why Your Geocoding Bill is Higher Than It Should Be\"\ndescription: Google, Mapbox, AWS, and ESRI charge 6-8x more to store a geocoding result than to query it. Here's why the caching tax exists, and how Stadia Maps avoids it.\nauthor: ian-wagner\nimage: \u002Fimages\u002Fog\u002Fhidden-cost-of-search-geocoding-post.png\nimageAlt: \"The Hidden Cost of Search: Why Your Geocoding Bill is Higher Than It Should Be — Stadia Maps\"\nkeywords:\n  - Geocoding API pricing\n  - geocoding caching\n  - Google geocoding storage restrictions\n  - Mapbox permanent geocoding\n  - vendor lock-in\n  - batch geocoding\n  - address interpolation\n  - fuzzy matching\npublished: 2026-07-20\nsection: Geocoding\nseo:\n  title: \"Geocoding API Pricing: The Hidden Caching Tax\"\n  ogTitle: Why Your Geocoding Bill Keeps Climbing\n  description: Google, Mapbox, AWS, and ESRI charge 6-8x more to store a geocoding result than to query it. See the hidden fees and how Stadia Maps avoids them.\n---\n\n# The Hidden Cost of Search: Why Your Geocoding Bill is Higher Than It Should Be\n\n> Moving from a prototype to a production-level application often reveals a frustrating reality: \"standard\" industry pricing is rarely as simple as it looks. While Google and Mapbox are familiar names, their terms of service are littered with pricing traps and storage restrictions that penalize growth.\n\n## The Caching Tax: A 6x Markup on Your Own Data\n\nStorage rights are the most significant hidden fee in the [geocoding world](\u002Fblog\u002Fprecision-meets-privacy-consumer-search-experience\u002F). If you want to save a coordinate to your database for long-term use, most providers charge a massive premium.\n\n- **The Industry Trap:** Mapbox, AWS, and ESRI often charge between **6x** and **8x** the cost of a regular query if you intend to store the result.\n- **The Google Constraint:** Google employs complex restrictions that generally forbid caching for anything other than a specific end-user session.\n- **The Stadia Maps Difference:** We believe in keeping it simple. If you are on a Standard-tier plan or higher, you can cache results as long as your subscription is active. No extra fees, no per-user re-validation, and no permanent storage surcharges.\n\n## Ending Vendor Lock-In\n\nVendor lock-in is another common way costs spiral out of control. For example, Google often prevents you from displaying its geocoding results on a map from another provider. Forced ecosystem loyalty leads to higher long-term costs and less flexibility for your stack. Stadia Maps gives you the freedom to use our data where it makes the most sense for your users.\n\n## High-Volume Performance Without the Hoops\n\nBatch processing should be a tool, not a headache. While Google lacks a dedicated [bulk geocoding API](\u002Fblog\u002Fquickly-geocode-thousands-of-addresses-with-bulk-geocoding\u002F) and Mapbox limits you to **1,000** queries per request, we built Stadia Maps for scale. Our API processes batches of **5,000** records at a time, reducing round-trip latency and allowing teams to efficiently churn through massive datasets without navigating a maze of technical limitations.\n\n## Solving the \"Fat Finger\" Problem\n\nSearch is only useful if it's resilient. Typos and missing spaces shouldn't break your user experience or your budget through failed API calls. We invest in the \"boring\" parts of search that smaller vendors often overlook, such as robust address interpolation and fuzzy matching. Reliable search mechanics prevent the hidden costs of \"no results found\" errors, keeping your data pipelines clean and your conversion rates high.\n\n---\n\nStop overpaying for your own data. [View our transparent pricing tiers](\u002Fpricing\u002F) and start scaling without the \"caching tax.\"\n","Geocoding",{"title":159,"ogTitle":160,"description":161},"Geocoding API Pricing: The Hidden Caching Tax","Why Your Geocoding Bill Keeps Climbing","Google, Mapbox, AWS, and ESRI charge 6-8x more to store a geocoding result than to query it. See the hidden fees and how Stadia Maps avoids them.","blog\u002Fwhy-is-your-geocoding-bill-higher-than-it-should-be","CZCxAre5hdYxpu5uv_bw0p94AOkYK6NZ1F2dg85p228",[165,178,192],{"title":166,"description":167,"path":168,"published":169,"keywords":170,"rawbody":177},"Bulk Geocoding API Is Now Available","Geocode up to 5,000 addresses in one HTTP request: forward and structured queries, streamed results, and no extra credits or fees.","\u002Fblog\u002Fquickly-geocode-thousands-of-addresses-with-bulk-geocoding","2024-08-23",[171,172,173,174,175,176],"Bulk Geocoding","Batch Geocoding","Batch Processing","Address Lookup","Geocoding API","Data Processing","---\ntitle: Bulk Geocoding API Is Now Available\nauthor: luke-seelenbinder\ndescription: \"Geocode up to 5,000 addresses in one HTTP request: forward and structured queries, streamed results, and no extra credits or fees.\"\nkeywords:\n  - Bulk Geocoding\n  - Batch Geocoding\n  - Batch Processing\n  - Address Lookup\n  - Geocoding API\n  - Data Processing\nmodified: 2026-07-02\npublished: 2024-08-23\nsection: Geocoding\nseo:\n  title: \"Bulk Geocoding API: Geocode 5,000 Addresses per Request\"\n  description: \"Geocode up to 5,000 addresses in one HTTP request: forward and structured queries, streamed results, and no extra credits or fees.\"\n---\n\n# Bulk Geocoding API Is Now Available\n\n> Bulk (batch) geocoding converts many addresses or places to coordinates in a single API call instead of one request per address. The Stadia Maps Bulk Geocoding API accepts up to 5,000 forward or structured geocoding queries per HTTP request, streams results back as they complete, and consumes the same per-query credits as individual requests, with no extra fees.\n\nSince we launched [our geocoding product](\u002Fproducts\u002Fgeocoding-search\u002Fgeocoding\u002F), we've learned a lot about what developers need to build applications that convert addresses, places, and more to coordinates. While we've always supported forward, reverse, and structured queries, one thing we haven't supported is making multiple queries in one request.\n\nBulk (also known as batch) geocoding makes it faster and simpler to geocode many addresses at once. Whether supporting a batch job or improving performance for multiple simultaneous requests, our new [Bulk Geocoding API](https:\u002F\u002Fdocs.stadiamaps.com\u002Fgeocoding-search-autocomplete\u002Fbulk-geocoding-search\u002F) helps developers build more efficient solutions using the same high-quality Geocoding API they already know.\n\n## How Many Addresses Can You Geocode in One Request?\n\nWith the new API, you can make up to 5,000 geocoding queries with a single HTTP request. Both [forward geocoding](https:\u002F\u002Fdocs.stadiamaps.com\u002Fgeocoding-search-autocomplete\u002Fsearch\u002F) and [structured geocoding](https:\u002F\u002Fdocs.stadiamaps.com\u002Fgeocoding-search-autocomplete\u002Fstructured-search\u002F) are supported. You can even combine multiple request types in a single bulk request!\n\nUsing the bulk endpoint instead of individual requests will make your queries faster. The endpoints' internal parallelization will simultaneously improve throughput, reduce total latency, and simplify the calling code.\n\nThis new endpoint is useful in environments without easy access to lightweight concurrency and connection pooling, where each request incurs the connection establishment overhead. Older web frameworks, lower-level code, and shell scripts will especially benefit from using the bulk endpoint instead of the standard endpoints.\n\nFor particularly latency-sensitive applications, you can also process the results as they are produced. The endpoint streams the results back as a JSON body, enabling a much lower time-to-first-result if required.\n\n## How Much Does Bulk Geocoding Cost?\n\nBulk geocoding is available for all accounts subscribed to our Standard and Professional plans. Each request consumes credits as if you made a request to the underlying endpoint directly, so there are no additional fees or credits used.\n\nYou can find out how many credits each API call consumes in our [credit schedule](\u002Fpricing\u002F#credit-schedule).\n\n## Which SDKs and Languages Support Bulk Geocoding?\n\nAs usual, our official [SDKs](https:\u002F\u002Fdocs.stadiamaps.com\u002Fsdks\u002Foverview\u002F#apis) have already been updated to support the new API.\n\nYou can access it from JavaScript, Python, Kotlin, Swift or PHP without writing any new network or parsing code!\n\nYou can even find a `curl` example in our [API documentation](https:\u002F\u002Fdocs.stadiamaps.com\u002Fgeocoding-search-autocomplete\u002Fbulk-geocoding-search\u002F) so your shell scripts aren't left behind.\n\n## Learn More & Next Steps\n\n- [Create an account](https:\u002F\u002Fclient.stadiamaps.com\u002Fsignup\u002F) to get an API key. You can start building today without a credit card!\n- Read the [bulk geocoding API documentation and sample code](https:\u002F\u002Fdocs.stadiamaps.com\u002Fgeocoding-search-autocomplete\u002Fbulk-geocoding-search\u002F).\n- Join our community on [Slack](https:\u002F\u002Fslack.openstreetmap.us\u002F) or [Discord](https:\u002F\u002Fdiscord.gg\u002FqRBy6qqtdT), or follow us on [Mastodon](https:\u002F\u002Fen.osm.town\u002F@stadiamaps).\n",{"title":179,"description":180,"path":181,"published":182,"keywords":183,"rawbody":191},"The Open Data Superpower: Why Global Search is Moving Beyond Proprietary Silos","Stadia Maps builds geocoding & search on continuous open data streams — rapid updates, community fix-it loops, multilingual search, and precision reverse geocoding.","\u002Fblog\u002Fopen-data-geocoding-global-search","2026-07-08",[157,175,184,185,186,187,188,189,190],"Reverse Geocoding","Open Data","OpenStreetMap","Multilingual Search","Localization","On-Premise Geocoding","Location Search","---\ntitle: \"The Open Data Superpower: Why Global Search is Moving Beyond Proprietary Silos\"\ndescription: Stadia Maps builds geocoding & search on continuous open data streams — rapid updates, community fix-it loops, multilingual search, and precision reverse geocoding.\nauthor: ian-wagner\nhead:\n  meta:\n    - property: og:image:width\n      content: \"1200\"\n    - property: og:image:height\n      content: \"630\"\n    - property: og:image:type\n      content: image\u002Fpng\n    - property: article:tag\n      content: Geocoding\n    - property: article:tag\n      content: Open Data\n    - property: article:tag\n      content: Reverse Geocoding\n    - property: article:tag\n      content: Localization\n    - property: article:tag\n      content: Location Search\nimage: \u002Fimages\u002Fog\u002Fglobal-search-proprietary-silo-og.png\nimageAlt: \"The Open Data Superpower: Why Global Search is Moving Beyond Proprietary Silos — Stadia Maps\"\nkeywords:\n  - Geocoding\n  - Geocoding API\n  - Reverse Geocoding\n  - Open Data\n  - OpenStreetMap\n  - Multilingual Search\n  - Localization\n  - On-Premise Geocoding\n  - Location Search\npublished: 2026-07-08\nsection: Geocoding\nseo:\n  title: \"Open Data Geocoding API: Global Search, Rapid Updates\"\n  ogTitle: The Geocoding Engine Built on Open Data, Not Black Boxes\n  description: Stadia Maps geocoding & search APIs ingest continuous open data for rapid updates, multilingual search, and precision reverse geocoding — no proprietary black box.\n---\n\n# The Open Data Superpower: Why Global Search is Moving Beyond Proprietary Silos\n\n> Legacy mapping providers rely on static data captured during periodic drive-bys, creating a \"black box\" where errors can persist for years. Stadia Maps solves this by building living infrastructure that ingests continuous open and proprietary data streams, offering a transparent \"fix-it\" loop and rapid updates that proprietary silos cannot match.\n\n---\n\nLegacy mapping providers rely on data captured during periodic drive-bys, which can remain unverified for years. When the physical world changes, these APIs become a liability, leading to \"destination not found\" errors and broken logistics chains.\n\nAt Stadia Maps, we solve this by building **living infrastructure**. Instead of waiting for a fleet of sensor cars to pass through a neighborhood, we ingest continuous streams of open data for our [geocoding and search APIs](\u002Fproducts\u002Fgeocoding-search\u002F).\n\n## Rapid Turnaround and the \"Fix-it\" Loop\n\nProprietary datasets often feel like a black box. If an address is wrong or a new subdivision is missing, reporting the error can feel like shouting into a void. Stadia Maps changes this dynamic by leaning into the breadth of global contributors and open, official datasets.\n\n- **Data Corrections:** We include \"fix-it\" URLs for many records directly in our API responses. These links point users to datasets that accept contributions, enabling community-driven accuracy that commercial datasets can't match.\n- **Global Localization:** We collaborate on an open-source set of address templates that respect how people actually write addresses in their home countries.\n- **Rapid Geocoding Updates:** We refresh our geocoding data at least monthly to match our maps and routing services.\n\n## Localization Without the Friction\n\nSearch quality often takes a dive when switching between scripts. Handling non-Latin characters or searching for a Korean city using its English name are common pain points for global apps. Stadia Maps supports multilingual searching across all primary data layers, including Administrative Areas and Points of Interest (POIs).\n\nWhile we continue to refine partial matches in specific East Asian scripts, our current engine remains a benchmark for internationalization, helping global apps meet users where they are.\n\n## Precision Reverse Geocoding, Down to the Feature\n\n[Reverse geocoding](https:\u002F\u002Fdocs.stadiamaps.com\u002Fgeocoding-search-autocomplete\u002Freverse-search\u002F) is the backbone of delivery and real estate apps. A \"close enough\" result isn't sufficient when an app needs to know exactly what's at a location — not just the nearest street. Because we ingest a massive variety of data sources, we identify extremely granular features. For enterprise teams with strict security or latency requirements, we even offer this entire geocoding engine for [on-premise usage](\u002Fproducts\u002Fon-prem-embedded\u002F).\n\n## What's Next?\n\nWe are currently planning and building features that make the switch to Stadia Maps a no-brainer for enterprise teams:\n\n- **Revamped Categorical Search:** Expect more granular detail in specialized searches, such as \"Sushi restaurants,\" ranked by distance and relevance.\n- **Deeper Internationalization:** Our team is expanding English-name search to include road names globally, bridging the gap for international logistics.\n\n---\n\nWant to learn more about what we're working on? [Contact our engineering team](mailto\\:entsales@stadiamaps.com) to discuss your specific enterprise requirements.\n",{"title":193,"description":194,"path":195,"published":196,"keywords":197,"rawbody":206},"When Google Maps Killed its Heatmap API, Here's What it Costs You","Google's Maps JavaScript API HeatmapLayer was deprecated in May 2025 and removed in May 2026. Here's what broke, why it happened, and how to migrate to MapLibre GL JS with Stadia Maps tiles.","\u002Fblog\u002Fgoogle-maps-heatmap-deprecated-maplibre-migration","2026-07-01",[198,199,200,201,202,203,204,205],"Google Maps","MapLibre GL JS","Heatmap","HeatmapLayer","Migration","Visualization","Mapping APIs","Open Source Maps","---\ntitle: When Google Maps Killed its Heatmap API, Here's What it Costs You\ndescription: Google's Maps JavaScript API HeatmapLayer was deprecated in May 2025 and removed in May 2026. Here's what broke, why it happened, and how to migrate to MapLibre GL JS with Stadia Maps tiles.\nauthor: rob-yoegel\nhead:\n  meta:\n    - property: og:image:width\n      content: \"1200\"\n    - property: og:image:height\n      content: \"630\"\n    - property: og:image:type\n      content: image\u002Fpng\n    - property: article:tag\n      content: Google Maps\n    - property: article:tag\n      content: MapLibre GL JS\n    - property: article:tag\n      content: Heatmap\n    - property: article:tag\n      content: Migration\n    - property: article:tag\n      content: Mapping APIs\nimage: \u002Fimages\u002Fog\u002Fgoogle-maps-killed-its-heatmap-api-cost.png\nimageAlt: When Google Maps Killed its Heatmap API, Here's What it Costs You — Stadia Maps\nkeywords:\n  - Google Maps\n  - MapLibre GL JS\n  - Heatmap\n  - HeatmapLayer\n  - Migration\n  - Visualization\n  - Mapping APIs\n  - Open Source Maps\npublished: 2026-07-01\nsection: Maps\nseo:\n  title: \"Google Maps Deprecated Its Heatmap API: What to Do\"\n  ogTitle: \"Google Deprecated Its Heatmap API: What to Do Next\"\n  description: Google removed the HeatmapLayer from its Maps JavaScript API in May 2026. If your heatmaps broke, here's the migration path using MapLibre GL JS and Stadia Maps.\n---\n\n# When Google Maps Killed its Heatmap API, Here's What it Costs You\n\n> Google deprecated its Maps JavaScript API HeatmapLayer with no migration path, a reminder of what it costs to build on a platform where features disappear at the vendor's discretion. MapLibre GL JS offers native, more capable heatmap rendering that isn't subject to anyone's product roadmap. With Stadia Maps tiles, the migration is often simpler than it looks.\n\nIn May 2025, Google deprecated the Heatmap Layer in the Maps JavaScript API. One year later, it was gone. If you built something on `google.maps.visualization.HeatmapLayer` it broke without warning, without a migration path, and without much explanation beyond \"low customer usage.\"\n\nThat's the cost of building on someone else's infrastructure when that someone is Google. Features disappear when they stop serving ad revenue. Pricing changes when they decide it should. And when it breaks, you're filing a support ticket into a void.\n\n## What Actually Broke\n\nThe Heatmap Layer was part of the `visualization` library: an overlay that rendered geographic density from an array of data points. Devs widely used it for visualizing foot traffic, delivery density, sensor data, event activity, and dozens of other real-world use cases. Teams built on it in good faith, and now those same teams are scrambling to find a replacement before their users notice.\n\n## What One Customer Did About It\n\nWe recently helped a former Google Maps customer through exactly this situation. They'd been using Google Maps, including the Heatmap Layer, as the foundation of a core product feature. When the deprecation hit, they didn't just need a heatmap replacement; they needed to decide whether to keep rebuilding on a platform that had just shown it was willing to pull the rug from underneath them.\n\nThey're now migrating to MapLibre GL JS with Stadia Maps tiles. The heatmap layer in MapLibre is built in, more capable than what Google offered, and not going away on a whim. The migration is going smoothly, and they'll end up with greater control over their visualizations and a bit of peace of mind.\n\n![Heatmap layer visualization built with MapLibre GL JS on Stadia Maps Stamen Toner basemap tiles](\u002Fimages\u002Fcontent\u002Fexample-heatmap-image.png)\n\n## Why MapLibre GL JS?\n\nMapLibre GL JS is open source, actively maintained, and used at scale by teams that can't afford to bet on a vendor's continued interest. It has native heatmap rendering: zoom-responsive, data-driven, and fully configurable. You're not working around a limited API; you're working with a proper layer type.\n\nEqually important: It's not tied to any single tile provider. You control where your map data comes from. Stadia Maps is an active contributor to [MapLibre](https:\u002F\u002Fmaplibre.org), and we designed our [interactive basemaps](https:\u002F\u002Fstadiamaps.com\u002Fproducts\u002Fmaps\u002Finteractive-basemaps\u002F) to work with it out of the box.\n\n## Why Stadia Maps?\n\nWe provide the basemap tiles that render underneath your data. Fast, globally distributed, and built to work with MapLibre without configuration gymnastics.\n\nWe're also not Google. We don't track your users. Our [pricing](https:\u002F\u002Fstadiamaps.com\u002Fpricing\u002F) is transparent and doesn't change because we decided to restructure a product line. When something breaks, you talk to a human, not a ticket bot.\n\nIf you're already planning a move away from Google Maps, we have a [dedicated migration guide](https:\u002F\u002Fstadiamaps.com\u002Fswitch-to-stadia\u002Ffrom-google\u002F) that covers maps, routing, and geocoding. The heatmap is usually the least complicated part of the switch.\n\nAnd if you have questions about your specific setup, [reach out](mailto\\:support@stadiamaps.com). Real human support is one of the things we actually mean when we say it.\n",{"id":208,"bio":209,"extension":15,"jobTitle":210,"meta":211,"name":212,"sameAs":213,"slug":25,"stem":215,"twitterCreator":216,"type":24,"url":24,"__hash__":217},"authors\u002Fauthors\u002Fian-wagner.yml","Ian is co-founder of Stadia Maps and leads engineering and operations. He works on routing, navigation, and the technical foundations that keep customer applications reliable at scale.","Founder & President \u002F COO",{},"Ian Wagner",[214],"https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Fian-w-wagner\u002F","authors\u002Fian-wagner","@ianthetechie","l5JkdZ7ehurrvezuwF3B0c92VPEW9ruqKkvbw8QGL7s",1784630977004]