
Knowledge Graph Platform & Vendor Selection
Choosing the right knowledge graph platform is critical and complex. There are dozens of vendors, each with different strengths, licensing models, and architectural trade-offs. As an independent consultancy, we have no vendor allegiance - we recommend the platform that fits your data, your team, and your budget. Our evaluation framework has guided platform decisions for organisations across financial services, pharmaceuticals, energy, and government.
What's included
- Requirements gathering and use-case analysis
- RDF triplestore and graph database comparison
- Proof-of-concept evaluation and benchmarking
- Total cost of ownership modelling
- Vendor negotiation support
Business impact
- Make platform decisions based on evidence, not vendor marketing
- Reduce risk of costly platform migration later
- Get independent, vendor-neutral evaluation criteria
- Benchmark platforms against your actual data and queries
- Negotiate better terms with informed leverage
Our process
A proven methodology refined across dozens of enterprise engagements.
Requirements Analysis
Deep-dive into your data volumes, query patterns, compliance requirements, team capabilities, and integration landscape.
Market Scan
Evaluating the current vendor landscape against your specific requirements - not a generic comparison, but a tailored shortlist.
Proof of Concept
Running structured PoCs on 2–3 shortlisted platforms using your data and real-world queries.
TCO & Risk Analysis
Modelling total cost of ownership including licensing, infrastructure, team training, and ongoing support.
Recommendation & Transition
Final recommendation with implementation roadmap and vendor negotiation support.
Frequently asked questions
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Ready to get started?
Book a 30-minute consultation to discuss how knowledge graph platform & vendor selection can accelerate your semantic technology programme.