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

Wikibase review

Free#24 of 33 in Knowledge Graph Software

A collaborative, open-source knowledge base for structured data, RDF and SPARQL.

6.8/10Editor score
Wikibase6.8 Visit Wikibase

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Wikibase is an open-source suite for creating, editing and sharing structured knowledge bases. Its collaborative, MediaWiki-based interface lets teams model custom items and properties, with multilingual labels, descriptions and aliases. Libraries, research groups, cultural organizations and other teams managing domain-specific linked data are a natural fit. It is less suited to buyers seeking a general-purpose graph workspace rather than a tool for curating structured data.

Wikibase supports statements with qualifiers, references and ranks, then offers RDF export and Linked Open Data publishing. SPARQL querying is available through the associated query-service stack, and federation connects Wikibase data sources. Bulk import options include QuickStatements, CSV and WikibaseImport; the MediaWiki Action API supports querying and editing. These capabilities make it relevant to teams that need structured curation and data exchange, though the query service is a separate part of the stack to consider when planning a deployment.

The software is free and open source, with Wikibase Cloud as a hosted option or Wikibase Suite for self-hosting with Docker. Those are distinct operating choices rather than paid tiers with published feature ladders. Self-hosting is a fit for teams prepared to deploy the suite; a hosted option may better suit teams that do not want to run it themselves. Choose Wikibase for collaborative modeling, linked-data publishing and SPARQL workflows; look elsewhere if the priority is a general graph workspace or visualization.

Wikibase pros and cons

  • Where it wins
    • Model custom items, properties and multilingual labels.
    • Publish RDF and query data with SPARQL.
    • Import in bulk using QuickStatements, CSV or WikibaseImport.
  • Where it doesn't
    • Self-hosting requires deploying Wikibase Suite with Docker.
    • SPARQL querying depends on the associated query-service stack.
    • Its focus is structured data, not a general-purpose graph workspace.

Wikibase 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