Suggestions appear as you type. Use the up and down arrows to choose one and Enter to open it.

This page's audience our own tag's counts — open to see them
–Visits
–Page views
–Clicks to vendors
–Time on page
–Reading now
Clicks to vendors, by tool
  • –
Top countries
  • –
Devices
  • –

– · visits, page views and clicks counted by our own tag, which counts more than our checked analytics; every figure rounded down · how we count

Strabon review

Free#22 of 26 in RDF Databases

A focused self-hosted RDF database for linked geospatial and temporal workloads.

7.0/10Editor score
Strabon7.0 Visit Strabon

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Strabon is an open-source RDF database for teams storing and querying linked geospatial data, including information that changes over time. It is designed for geospatial analysts, semantic-web developers, and organizations that need spatial and temporal RDF workloads in a self-hosted environment. The system runs on Linux and Windows, exposes a SPARQL endpoint, and includes a Java endpoint client and command-line tools. PostgreSQL with PostGIS provides the backend, while Sesame/RDF4J supplies the RDF foundation.

Its main strength is the depth of its geospatial and temporal focus. Strabon queries stRDF with stSPARQL and supports a subset of GeoSPARQL, along with spatial selections, spatial joins, geometry functions, multiple coordinate reference systems, and WKT and GML geometry serialization. Temporal data and valid-time modeling extend that focus to datasets whose values change over time. The published capabilities also include RDFS entailment support for GeoSPARQL, except requirement 25. These features make Strabon a strong fit when location, time, and linked data need to be handled together rather than as separate concerns.

The deployment model favors teams comfortable managing infrastructure: Strabon is self-hosted and integrates with PostgreSQL, PostGIS, Apache Tomcat, and Sesame/RDF4J. That ecosystem can suit existing Java and PostgreSQL-based environments, but it also places setup and operational responsibility with the adopter. Its narrower geospatial scope means teams seeking a more general-purpose RDF database may prefer an alternative with broader application coverage. Choose Strabon for specialized spatiotemporal RDF work and an open-source deployment model; look elsewhere when geospatial and temporal capabilities are secondary to wider RDF functionality.

Strabon pros and cons

  • Where it wins
    • stSPARQL, GeoSPARQL, spatial joins, and temporal modeling
    • PostgreSQL and PostGIS backend integration
    • Open-source, self-hosted deployment with SPARQL and Java endpoints
  • Where it doesn't
    • Focused on geospatial and temporal RDF rather than broad RDF workloads
    • GeoSPARQL support is a subset, with one stated requirement exception
    • The official website and documentation are dated

Strabon fact sheet, pricing and score →

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Last updated · How we research and update