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Graph databases

Enables the following Capabilities
An integrated information backbone
Knowledge Graph -driven media asset management
Metadata as a Knowledge Graph
Core business assets are described with context and meaning
Used in the following Interventions
Replace legacy information systems with a KGaaS
Replace legacy information management systems with a Knowledge Graph as a Service (KGaaS) platform, so that you can launch quickly and early, and pivot with ease around an evolvable core business information model.
Other technologies used
Automated Content Tagging using Artificial Intelligence (AI)
Content Graphs
KGaaS - Knowledge Graph as a Service
Knowledge Graphs
Linked Data
Knowledge Graph Creation Tools
Integrate AI automated tagging with custom metadata models
This intervention is required when a specific in-house metadata model is in use - e.g. a taxonomy or a knowledge graph - in order to give valuable results in a custom domain.
Other technologies used
Automated Content Tagging using Artificial Intelligence (AI)
Artificial Intelligence (AI)
Launch a knowledge graph platform
A knowledge graph platform, complete with an API and Webhooks, integrated with core business processes, is a common intervention used to increase speed to market.
Other technologies used
Content Graphs
GraphQL
KGaaS - Knowledge Graph as a Service
Knowledge Graphs
Linked Data
Ontologies
Publishing Technology
Knowledge Graph Creation Tools
Domain-Driven Design (DDD)
Introduce centralized metadata management
Create or rationalize existing metadata repositories into a centrally managed metadata system, so that humans and machines can both refer to a single version of the truth.
Related Articles
The Fastest Graph Database in the World?
The Fastest Graph Database in the World?
Data Graphs
We have some pretty exciting news! We have filed an international patent on our new graph database query algorithm. We have also done some further benchmarking tests, and the results are pretty astounding.
Paul Wilton
Paul Wilton
September 24, 2024
Data Graphs Cypher Benchmark - 110x faster than Neo4j
Data Graphs Cypher Benchmark - 110x faster than Neo4j
Data Graphs
We benchmarked Data Graphs and it’s fast. Really fast. In fact 110x faster than Neo4j on average, but that’s not the whole story. It gets better.
Paul Wilton
Paul Wilton
Steve Liles
Steve Liles
July 24, 2024
Building Robust and Usable Knowledge Graphs
Building Robust and Usable Knowledge Graphs
Knowledge Graphs
Building robust apps and business systems on graph databases has proven really hard, but it does not need to be. This is why.
Paul Wilton
Paul Wilton
June 20, 2023
Content Graphs: The Box Set
Content Graphs: The Box Set
Content Graphs
The new generation of Content Graphs are here, and deliver a complete linked media publishing platform.
Paul Wilton
Paul Wilton
May 5, 2023
Graph Databases are not Magic Cauldrons
Graph Databases are not Magic Cauldrons
Graph databases
To deliver, robust, practical, scalable enterprise applications, you should treat your graph database with the same care, attention, and good data governance as any other database in your data architecture.
Paul Wilton
Paul Wilton
May 4, 2022
GraphQL and Graph Databases
GraphQL and Graph Databases
Graph databases
A discussion on the synergies between GraphQL and Graph Databases, data architecture and how ontology models provide the special ingredients.
Paul Wilton
Paul Wilton
February 5, 2020