OpenStreetMap vs Overture Maps: Which Is Right for Your Project?

OpenStreetMap vs Overture Maps: Which Is Right for Your Project?

OpenStreetMap and Overture Maps are usually framed as rivals, and that framing causes most of the confusion around them. Overture is not an alternative map of the world built to replace OSM. It is a processing and distribution layer that takes OpenStreetMap along with more than two hundred other open sources, conflates them, validates the result and republishes it in a fixed schema on a monthly schedule. Understanding that relationship answers most questions about which one a project should use.

The Short Answer

Use OpenStreetMap when the project needs live data, local detail, the freedom to edit and fix what is wrong, or a tagging model rich enough to describe unusual things. Use Overture when the project needs a stable schema, predictable releases, global consistency and stable identifiers across datasets. Many production systems use both, because they solve different problems.

What OpenStreetMap (OSM) Is

OpenStreetMap is a crowdsourced global map database that has been running since 2004. Volunteers, companies and public bodies edit it directly, and every edit is live within minutes. Its data model is a set of nodes, ways and relations carrying free form key value tags, which is what makes it so expressive. If a feature exists in the world, the community can usually invent a way to describe it.

That flexibility is also its weakness for large scale automated use. Tagging conventions differ between countries and mappers, completeness varies enormously by region, and a schema that allows anything guarantees nothing. The whole database is licensed under ODbL, which carries a share alike obligation.

What Overture Maps Is

The Overture Maps Foundation was founded in December 2022 by AWS, Meta, Microsoft and TomTom, and has since grown past forty member organisations. It has published a data release every month since July 2023. The output is not a map service and not an editor. It is a set of files in GeoParquet format hosted on AWS S3 and Azure Blob Storage, organised into six themes with a documented, versioned schema.

The scale is considerable. Current releases carry roughly 2.6 billion building footprints, more than 70 million places, over 740 million kilometres of transportation segments and more than 460 million address points. Organisations building on it include Esri, Meta, Microsoft, Niantic, Precisely, Regrid, TomTom, Tripadvisor and Uber.

Overture Is Built On OpenStreetMap, Not Against It

This is the point most comparisons miss. Four of the six Overture themes carry the ODbL licence specifically because they contain OpenStreetMap data, and attribution to OpenStreetMap contributors is required when using them. The road network, the administrative boundaries, the base layer and a large share of the buildings trace back to OSM, enriched with machine learning derived footprints from Microsoft and Meta and with commercial and government sources.

Two practical consequences follow. First, an error present in OpenStreetMap will usually appear in Overture as well, and the way to fix it permanently is to fix it in OSM. Second, asking which dataset is more accurate is partly asking whether a snapshot of OSM plus other sources is better than OSM alone, which depends on the theme and the region rather than on the brand.

The Six Themes

Theme

Contents

Scale

Licence

Status

Buildings

Footprints with height and class attributes

~2.6 billion

ODbL

GA

Transportation

Segments and connectors for routing

740+ million km

ODbL

GA

Places

Points of interest with categories and confidence scores

70+ million

CDLA Permissive 2.0

GA

Divisions

Administrative boundaries and place names

Global

ODbL

GA

Base

Land cover, land use, water, infrastructure

Global

ODbL

GA

Addresses

Address points

460+ million

Mixed by source

Alpha

Every feature also carries a GERS identifier, part of the Global Entity Reference System, which reached general availability in 2025 and now uses UUIDs. The purpose is to let separate datasets refer to the same real world entity without fuzzy matching on names and coordinates, which is the single most useful thing Overture offers that OSM does not.

Licensing, Precisely

This is where projects most often go wrong, because the licensing is per theme rather than per dataset.

Source

Licence

Share alike obligation

Attribution

OpenStreetMap

ODbL 1.0

Yes, derivative databases must be shared under ODbL

© OpenStreetMap contributors

Overture base, buildings, divisions, transportation

ODbL 1.0

Yes, inherited from OpenStreetMap

© OpenStreetMap contributors and Overture

Overture places

CDLA Permissive 2.0

No

Overture, with per source notices

The common misconception is that Overture as a whole is permissively licensed and can therefore be modified privately. That is true only for the places theme, where most data comes from Meta, Microsoft, PinMeTo, Krick, RenderSEO, DAC and BrightQuery under CDLA Permissive 2.0, with Foursquare data under Apache 2.0 and AllThePlaces under CC0. Build a product on Overture roads or buildings and the ODbL share alike obligation applies exactly as it would with raw OSM.

What Independent Quality Checks Show

Marketing claims on both sides are easy to find and hard to verify. One useful independent test compared restaurant coverage globally and then validated a random sample against Google Maps. The results were more nuanced than either camp tends to claim:

  • Overture Places held 3,579,176 restaurants against 2,084,249 in OpenStreetMap, so raw coverage was clearly higher in Overture.

  • On a random sample of 100 from each, 72 OpenStreetMap entries were confirmed in Google Maps against 60 from Overture, so raw precision favoured OpenStreetMap.

  • OpenStreetMap accuracy correlated with recency, with entries edited within the last few years validating better.

  • Overture accuracy correlated with its own confidence score, with entries above roughly 71 per cent confidence validating better.

  • Filtering both datasets to their high quality subsets reversed the result and put Overture ahead.

The practical lesson is that neither source should be used unfiltered. OpenStreetMap rewards attention to edit recency, and Overture ships a confidence score precisely so that it can be used as a filter. A pipeline that ignores both metadata fields will underperform either source's real capability.

How to Get the Data

The distribution models are completely different, and this often decides the choice more than data quality does.

OpenStreetMap

  • Regional extracts in PBF format from Geofabrik and similar mirrors, which is the normal route for a country or region.

  • The Overpass API for targeted queries such as every pharmacy in a bounding box.

  • The full planet file for anyone running their own stack.

  • Live editing through iD, JOSM or Vespucci, with changes visible almost immediately.

Overture

  • GeoParquet files partitioned on AWS S3 and Azure Blob Storage, queryable in place without a full download.

  • The overturemaps command line tool, installed with pip, which extracts a bounding box to GeoJSON or GeoParquet.

  • DuckDB with the spatial extension, which reads the cloud files directly with SQL and is the fastest route for analytical work.

  • The Overture Explorer in the browser for inspecting features and exporting a small area without installing anything.

Update Model and Cadence

OpenStreetMap is live. An edit made now is queryable within minutes and reaches downstream consumers through minutely, hourly and daily difference files. That makes it the right source for anything reacting to change on the ground, such as new construction, closed roads or disaster response.

Overture is versioned. A release appears roughly monthly, carries a version string such as 2026-01-21.0 with a matching schema version, and stays fixed. The January 2026 release added around 85,000 kilometres of road segments across roughly 150 countries and about 150,000 place records. That cadence is slower, and in exchange a pipeline can pin a version, reproduce a result months later and upgrade deliberately. For regulated reporting and for machine learning training sets, reproducibility usually matters more than freshness.

How to Choose

Working through these in order settles most projects:

  • Data that must reflect the world as it is today points to OpenStreetMap.

  • A reproducible, versioned snapshot points to Overture.

  • Rich local detail and unusual feature types point to OpenStreetMap and its tagging model.

  • A fixed schema across every country points to Overture.

  • Points of interest for commercial use without share alike obligations point to the Overture places theme.

  • Joining several datasets about the same real world entities points to Overture and GERS identifiers.

  • The ability to correct an error at source points to OpenStreetMap, and fixing it there improves Overture too.

Common Mistakes

  • Assuming Overture is permissively licensed. Four of six themes are ODbL with the same share alike obligation as OpenStreetMap.

  • Treating the two as competitors. Overture consumes OpenStreetMap, so a defect in one often appears in the other.

  • Using either source unfiltered. Edit recency in OSM and the confidence score in Overture both exist to be used.

  • Expecting Overture to be a map service. It ships files, not tiles and not an API.

  • Choosing Overture for freshness. Monthly releases are a deliberate trade against live editing.

  • Judging global coverage from one region. Both datasets vary enormously by country.

FAQs

Using OSM and Overture with GISCARTA

On the GISCARTA platform, the Geodata AI widget enables users to extract data from OSM and Overture effortlessly—without external applications or coding. Learn more about this feature in our [blog: https://giscarta.com/blog/ai-for-giscarta].

Is Overture Maps replacing OpenStreetMap?

No. Overture consumes OpenStreetMap data and depends on it, and the foundation describes the relationship as complementary. OSM remains the editable community database, and Overture is a packaged, validated distribution built partly from it.

Can Overture data be used in a commercial product?

Yes, with attention to the theme. The places theme under CDLA Permissive 2.0 imposes few restrictions. The base, buildings, divisions and transportation themes are ODbL, so a derivative database built from them carries share alike obligations.

Which has better coverage?

It depends on the theme and the region. Overture generally has more points of interest and more building footprints because it merges many sources. OpenStreetMap often has richer local detail and more unusual feature types, particularly in areas with an active mapping community.

What is a GERS ID and why does it matter?

It is a stable identifier assigned to a real world entity, now issued as a UUID. Two organisations holding separate datasets about the same building or business can join them on that identifier instead of matching on names and coordinates, which is where most data integration work is normally lost.

Do I need to credit OpenStreetMap when using Overture?

For the ODbL themes, yes. Attribution to OpenStreetMap contributors is required alongside Overture, and that obligation travels with the data.

Key Takeaways

Overture is a validated, versioned distribution built on OpenStreetMap and two hundred other sources, which makes them complementary rather than competing.

Licensing is per theme, and the widespread belief that Overture is permissive holds only for places.

Neither source performs well unfiltered, and the choice usually comes down to live editing against reproducible releases.

Transform Your Spatial Data Into Business Insight

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Transform Your Spatial Data Into Business Insight

Stop struggling with complex GIS tools. Import, analyze, and visualize your geographic data in minutes, not hours.

Transform Your Spatial Data Into Business Insight

Stop struggling with complex GIS tools. Import, analyze, and visualize your geographic data in minutes, not hours.