Enhance Azure Maps with Overture Maps Data using PMTiles!
Supercharge Azure Maps with Overture Maps Data using PMTiles!
We’ve got some exciting news. Azure Maps now supports PMTiles! This means you can overlay massive geospatial datasets on Azure Maps with incredible efficiency and ease. PMTiles lets your data-intensive mapping applications access large datasets seamlessly, without the need to load the entire dataset on the client side. The result? Faster performance and more powerful, responsive mapping applications on Azure Maps.
What exactly are PMTiles?
Think of PMTiles as a supercharged ZIP file for tiled data. It’s a single-file archive format that consolidates numerous individual tiles into one neat package. This makes storage a breeze and managing your data way simpler compared to juggling thousands of small files.
PMTiles are perfect for cloud-native deployments and can be hosted on Azure Blob Storage. This means you can build low-cost, serverless map applications without needing a custom backend or third-party tile provider. With PMTiles, you can directly request data from the file over HTTP, accessing specific map tiles without any intermediaries. Whether you’re dealing with vector data, raster data, or terrain mesh data, PMTiles has got you covered.
How to create PMTiles
If you’re looking to create PMTiles for vector data, Tippecanoe is your go-to tool. It produces optimized vector tiles for visualization, simplifying or removing small features at low zoom levels to keep the tiles compact and manageable. This ensures a smooth user experience on the client side.
Displaying and Using PMTiles on Azure Maps
Azure Maps now supports custom protocols like pmtiles:// for referencing PMTiles archives. By using this custom protocol, Azure Maps can access tiles within a PMTiles archive using HTTP range requests, fetching only the data you need when you need it. To get started with PMTiles, the Azure Maps Web SDK offers the addProtocol function. This registers a callback that intercepts and modifies requests, allowing PMTiles data to be processed dynamically for rendering on the map.
Here’s a quick guide to setting up PMTiles support:
-
Reference the PMTiles Library:
<script src="https://unpkg.com/[email protected]/dist/pmtiles.js"></script> -
Initialize the PMTiles Protocol:
const protocol = new pmtiles.Protocol(); atlas.addProtocol("pmtiles", (request) => { return new Promise((resolve, reject) => { protocol.tile(request, (err, data) => { if (err) reject(err); else resolve({ data }); }); }); });This setup registers the
pmtiles://schema, enabling Azure Maps to process requests specifically for PMTiles sources. -
Add and Configure PMTiles Data Source: Use the following example to overlay Overture Maps’ building data on top of the Azure Maps basemap:
const PMTILES_URL = "https://overturemaps-tiles-us-west-2-beta.s3.amazonaws.com/2024-07-22/buildings.pmtiles"; protocol.add(new pmtiles.PMTiles(PMTILES_URL)); map.sources.add(new atlas.source.VectorTileSource("pmtiles", { type: "vector", url: `pmtiles://${PMTILES_URL}`, }));This code defines a vector tile source that uses the PMTiles URL. The map then dynamically fetches only the tiles that the user’s view requires, improving both performance and data usage.
What is Overture Maps?
Overture Maps is an open data project launched in 2022 by a coalition led by the Linux Foundation. Supported by Meta, Microsoft, AWS, and TomTom, this initiative aims to provide reliable, interoperable geospatial data for the public. The Overture Maps Foundation aggregates open and commercial datasets, offering a unified schema that makes it easier to work with geospatial data across different platforms and applications.
Each dataset in Overture Maps is organized by themes that classify different types of geospatial information, like building footprints, roads, water bodies, and points of interest. This thematic organization ensures a structured approach to incorporating diverse types of location data, making it accessible for developers across various projects.
With PMTiles support in Azure Maps, we can’t wait to see how you’ll use this capability to power dynamic and data-rich applications. Stay tuned for more updates, and start integrating PMTiles into your Azure Maps applications to unlock new potential with Overture Maps data today!
Published on:
Learn moreRelated posts
Microsoft Purview compliance portal: Endpoint DLP classification support for Azure RMS–protected Office documents
Microsoft Purview Endpoint DLP will soon classify Azure RMS–protected Office documents, enabling consistent DLP policy enforcement on encrypte...
Introducing the Azure Cosmos DB Plugin for Cursor
We’re excited to announce the Cursor plugin for Azure Cosmos DB bringing AI-powered database expertise, best practices guidance, and liv...
Azure DevOps Remote MCP Server (public preview)
When we released the local Azure DevOps MCP Server, it gave customers a way to connect Azure DevOps data with tools like Visual Studio and Vis...
Azure Cosmos DB at FOSSASIA Summit 2026: Sessions, Conversations, and Community
The FOSSASIA Summit 2026 was an incredible gathering of developers, open-source contributors, startups, and technology enthusiasts from across...
Dataverse: Avoid Concurrency issues by using Azure Service Bus Queue and Azure Functions
Another blog post to handle the concurrency issue. Previously, I shared how to do concurrency via a plugin in this blog post and also how to f...
March Patches for Azure DevOps Server
We are releasing patches for our self‑hosted product, Azure DevOps Server. We strongly recommend that all customers stay on the latest, most s...
Azure Developer CLI (azd): Debug hosted AI agents from your terminal
New azd ai agent show and monitor commands help you diagnose hosted AI agent failures directly from the CLI. The post Azure Developer CLI (azd...
A Look Ahead at Azure Cosmos DB Conf 2026: From AI Agents to Global Scale
Join us for Azure Cosmos DB Conf 2026, a free global, virtual developer event focused on building modern applications with Azure Cosmos DB. Da...
Announcing general availability of Azure Confidential Computing (ACC) virtual machines for U.S. government environments
Government agencies have an increased need for secure, verifiable, and compliant cloud environments that adhere to data sovereignty regulation...