GeoDesk

Overview

GeoDesk is a spatial database engine built around OpenStreetMap data, with its own storage format and query language. It suits developers and analysts building OSM-focused tools who want a compact, self-hosted alternative to querying a traditional database. Its main trade-off is specialization: the format and tooling are designed for OSM workflows rather than general-purpose data management.

Key features

GeoDesk stores OSM data in single-file Geographic Object Libraries (GOLs), built from OSM-PBF files with its command-line tool. GOLs hold geometries and OSM concepts such as relations. Their typical size—about 40 percent larger than OSM-PBF but a small fraction of a traditional database’s footprint—makes them practical to distribute as individual files, though they are not as compact as the source data.

GeoDesk says its most common spatial queries run 50 times faster than their SQL equivalents. That performance claim is most relevant to workloads that fit its feature-and-tag query model; GOQL is a concise syntax similar to MapCSS, rather than SQL. GOLs can also be converted into compressed tile repositories, allowing users to download only the regions they need.

For geometry work, GeoDesk documents connections to Java Topology Suite and Python Shapely, including operations such as buffers, unions and triangulation. Python can display queried features in a Leaflet-based web map, saved as HTML or opened in a browser. Coordinate transforms are supported, but GeoDesk does not support 3D geometry.

Developer tooling covers Java, Python and C++, alongside the GOL command-line utility. The Python quickstart requires Python 3.7 or later. Building the C++ library requires a C++20-capable compiler and CMake 3.14 or later, so that route has a more demanding setup than using a ready-to-run language library.

Pricing

GeoDesk costs nothing. The plan is 100% free and open-source, with no free trial or paid plan described. That removes subscription cost for individual developers and teams willing to host and operate the software themselves; it is not a hosted service.

Platforms

GeoDesk supports Linux, macOS and Windows. The C++ toolkit specifically documents 64-bit support on all three. GeoDesk says it performs well on systems able to run 64-bit Java or Python, while Python users need version 3.7 or later.

Who it's for

GeoDesk is a strong fit for developers building fast applications around OpenStreetMap and for analysts doing geospatial work on OSM features. Its compact single-file libraries, regional tile repositories and language options make it useful when data needs to be queried or shared by region. It is a weaker fit for projects centered on 3D geometry, or for teams that need a managed database rather than self-hosted software.

Documentation, tutorials, GitHub repositories and API references support its tools and language libraries. GeoDesk describes its maker as an independent team interested in cartography and geospatial topics, and says it is not affiliated with, endorsed by or sponsored by OpenStreetMap.

Pros and cons

• Pro: The free, open-source plan avoids licensing costs while giving developers Java, Python, C++ and command-line options.
• Pro: GOLs preserve OSM-specific concepts such as relations, and can be packaged as compressed regional tile repositories.
• Pro: The documented Shapely and Java Topology Suite integrations extend the workflow to common vector operations.
• Con: GeoDesk’s format and GOQL are specialized for OpenStreetMap, so teams seeking a general-purpose SQL database may be better served elsewhere.
• Con: GeoDesk does not support 3D geometry, limiting its use for workflows that require it.
• Con: The C++ build requires a C++20 compiler and CMake 3.14 or later, adding setup requirements for that option.

Alternatives

For other spatial database options, browse Spatial Databases.

Choose rasdaman if you want a freemium option with API, Linux, self-hosted and web platforms; its Community edition is free and open-source. MySQL is a better candidate when a project calls for a database with SQL and NoSQL applications, replication and high-availability components, and connectors; its Community Edition is GPL-licensed and the product offers a free plan and trial.

GeoMesa offers a free, Apache License 2.0 suite of tools for teams looking for a broader open-source geospatial toolkit. Pick Tile38 if its MIT-licensed, fully open-source option better fits your requirements. MonetDB is another free, open-source database, under the Mozilla Public License 2.0.

SedonaDB is a free, open-source single-node engine with Linux and self-hosted support, making it an option for teams whose needs align with that deployment model. Consider CrateDB if a freemium database is preferable and a shared free plan capped at 2 vCPUs, 2 GiB RAM and 8 GiB storage is sufficient. RavenDB is another freemium alternative, with developer and community plans described in terms of cores, RAM and nodes.

Verdict

Choose GeoDesk for OSM-centered applications and analysis when a free, self-hosted engine, compact GOL files and developer-language choices matter more than SQL familiarity or 3D support. Its strongest reason to choose it is the combination of OSM-aware storage and fast spatial queries; look elsewhere if you need a general-purpose database or managed hosting.