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Neo4J Graph Technologies
Unlocking the power of connected data to reveal relationships no relational database can see.
Technologies / Neo4J
Graph Data: The Future of Connected Intelligence
Sunware's Neo4j practice helps organisations model, store, and query highly connected data with unprecedented speed and flexibility. Where traditional databases struggle with complex relationships, graph technology excels — revealing patterns and connections that drive smarter decisions.
From fraud detection networks to knowledge graphs and recommendation engines, we build graph solutions that scale to billions of nodes and relationships.
Explore Graph Solutions
Neo4j CertifiedGraph database experts
Why Graph
What Graph Technology Unlocks
Four powerful capabilities that only graph databases can deliver at scale.
01
Deep Relationship Queries
Traverse millions of relationships in milliseconds — something that would take relational databases hours of expensive JOIN operations.
02
Advanced Fraud Detection
Identify fraud rings, money laundering networks, and synthetic identity patterns by analysing the connections between entities in real time.
03
Personalised Recommendations
Model customer-product-behaviour relationships to power recommendation engines that increase conversion and basket size.
04
Knowledge Graph Intelligence
Build enterprise knowledge graphs that connect disparate data sources, enabling AI models to reason over your entire information landscape.
Our Services
Our Neo4J & Graph Capabilities
End-to-end graph solutions from data modelling to production deployment.
01 / 05
Graph Data Modelling
Domain-specific graph schema design that accurately represents your business entities, relationships, and properties.
02 / 05
Neo4j Implementation
Full Neo4j cluster setup, data ingestion pipelines, Cypher query optimisation, and performance tuning for production workloads.
03 / 05
Fraud & Risk Analytics
Real-time graph algorithms for fraud ring detection, AML compliance, and credit risk assessment in banking and insurance.
04 / 05
Knowledge Graph & AI Integration
Connect Neo4j to your ML models and LLMs to enable graph-augmented RAG pipelines and context-aware AI applications.
05 / 05
Migration from Relational Databases
Proven migration frameworks to move appropriate workloads from SQL/NoSQL databases to Neo4j with zero data loss.
Why Sunware
Why Enterprises Choose Us
Three strengths that define our graph technology practice.
Real-World Use Cases
We have delivered graph solutions across banking fraud, telecom network analysis, retail recommendations, and enterprise knowledge management.
Full Ecosystem Integration
We integrate Neo4j seamlessly with your existing data stack — Kafka, Spark, Elasticsearch, cloud platforms, and AI/ML pipelines.