Freebase vs Wikidata

Struggling to choose between Freebase and Wikidata? Both products offer unique advantages, making it a tough decision.

Freebase is a Online Services solution with tags like knowledge-graph, semantic-web, linked-data, knowledge-base.

It boasts features such as Open knowledge graph database, Structured data about real-world entities and events, Collaborative data collection and curation, APIs for querying and accessing data, Linked open data model to connect related facts, Entity extraction from unstructured text, Knowledge graph visualization and pros including Massive database of structured real-world knowledge, Integrates data from many sources, Allows anyone to contribute data, Powerful APIs for building applications, Linked data model enables knowledge discovery, Free and open source.

On the other hand, Wikidata is a Online Services product tagged with knowledge-base, structured-data, wikimedia, wikipedia.

Its standout features include Centralized storage of structured data, Supports 300+ languages, Open data that anyone can edit, Query interface to access data, API access to data, Linked open data integrated with other databases, Used by Wikipedia and other Wikimedia projects, and it shines with pros like Free and open access, Community-driven data curation, Multilingual support, Extensive structured knowledge base, Frequent updates and additions, Linked open data increases utility, Wide adoption by major websites.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

Freebase

Freebase

Freebase is an open, graph-shaped database of facts about the real world. Freebase aims to organize human knowledge similar to databases like Wikipedia. It allows users to contribute facts and data that can be interlinked through its graph-shaped model.

Categories:
knowledge-graph semantic-web linked-data knowledge-base

Freebase Features

  1. Open knowledge graph database
  2. Structured data about real-world entities and events
  3. Collaborative data collection and curation
  4. APIs for querying and accessing data
  5. Linked open data model to connect related facts
  6. Entity extraction from unstructured text
  7. Knowledge graph visualization

Pricing

  • Open Source

Pros

Massive database of structured real-world knowledge

Integrates data from many sources

Allows anyone to contribute data

Powerful APIs for building applications

Linked data model enables knowledge discovery

Free and open source

Cons

Requires technical expertise to use APIs

Data quality dependent on contributors

Limited compared to large knowledge graphs like Wikidata

Shutdown in 2016 so no longer actively developed


Wikidata

Wikidata

Wikidata is a free and open knowledge base that can be read and edited by both humans and machines. It acts as central storage for the structured data of its Wikimedia sister projects including Wikipedia, Wikivoyage, Wiktionary, Wikisource, and others.

Categories:
knowledge-base structured-data wikimedia wikipedia

Wikidata Features

  1. Centralized storage of structured data
  2. Supports 300+ languages
  3. Open data that anyone can edit
  4. Query interface to access data
  5. API access to data
  6. Linked open data integrated with other databases
  7. Used by Wikipedia and other Wikimedia projects

Pricing

  • Open Source
  • Free

Pros

Free and open access

Community-driven data curation

Multilingual support

Extensive structured knowledge base

Frequent updates and additions

Linked open data increases utility

Wide adoption by major websites

Cons

Data quality dependent on contributors

Complex structure has learning curve

Limited tools for analysis compared to databases

Less features than commercial knowledge bases

Some incorrect or incomplete data

Biases possible from community editing model