A database to organise complex networks of data and make it queryableLearn more
  • ER
  • Types
  • Ternary
  • Nested
  • Rules
  • Inference
  • Analytics
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 25 26 27 28

# Entity-Relationship


person sub entity,
	has name,
	plays employee;

company sub entity,
	has name,
	plays employer;

employment sub relationship,
	relates employee,
	relates employer;

name sub attribute,
	datatype string;

A unified knowledge representation for intelligent systems
Knowledge SchemaEnhanced Entity-Relationship schema, with constructs to define hyper-entities, hyper-relations and rules, to build complex knowledge models.Learn More
Hyper Expressive Schema
Real Time Inference
Automated ReasoningAutomatic deduction of data patterns and relationships during runtime (OLTP), enabling the retrieval of implied/hidden associations between data points.Learn More
grakn bot
Distributed AnalyticsAutomated Pregel and MapReduce distributed algorithms abstracted as a language (OLAP), enabling large-scale analytics computation through simple queries.Learn More
Distributed Analytics
High Query Language
Higher-Level LanguageStrong abstraction over low-level patterns, enabling simpler expressions of complex questions, while the system figures out the most optimal query execution.Learn More
background curved
Scale your enterprise Knowledge Graph with Grakn KGMS and Workbase
Learn More
Deploy Grakn KGMS on-premise,
or in the cloud
Choose your deployment option
Grakn can help every domain with complex networks of information
financial services
Financial ServicesFinancial Services Across the financial service industry, changes in technology, policy, and geopolitics have radically altered the data landscape in the past few years. By taking advantage of Grakn’s cutting edge knowledge graph technology, financial service firms can take full strategic advantage of the changing data landscape.
testimonialsBuilding on the shoulders of Grakn
Get in touch with our team