Unlock the power of connected data. SolveBI helps organisations design, build, and query graph databases on Microsoft Fabric - turning complex relationships into clear, actionable intelligence.
A Fabric Graph Instance is a property graph database experience built natively within Microsoft Fabric. It allows you to model entities as nodes and the relationships between them as edges - and then query those connections using graph traversal languages.
Unlike relational databases where joins become exponentially expensive as relationship depth increases, graph databases are purpose-built for traversal. Finding a customer's three-hop transaction network, or tracing a product's full supply chain provenance, becomes a natural query rather than a performance problem.
Graph Instances in Fabric sit alongside your Lakehouse and Warehouse data on OneLake, enabling a unified analytics environment where graph insights complement your existing tabular reporting.
From schema design to production deployment, we cover every phase of your graph analytics journey.
Design and implement property graph schemas that accurately represent your business entities and the relationships between them - customers, products, suppliers, transactions, and more.
Write and optimise graph traversal queries to uncover multi-hop relationships, shortest paths, and connection patterns that are invisible in traditional tabular data.
Connect your Graph Instance to existing Lakehouse and Warehouse data in OneLake, enabling graph analytics on top of your existing Delta tables without duplicating data.
Surface graph insights in Power BI using custom visuals and aggregated graph metrics. Bring relationship intelligence into dashboards your business users already rely on.
Apply Microsoft Purview governance policies and Fabric workspace security to your Graph Instance, ensuring sensitive relationship data is protected and auditable.
Build enterprise knowledge graphs that connect structured and unstructured data sources, enabling semantic search, recommendation engines, and AI-augmented analytics.
Graph Instance excels when relationships between entities are as important as the entities themselves.
Identify suspicious transaction networks, money mule rings, and identity fraud by traversing account and transaction relationships in real time.
Model multi-tier supplier relationships to identify single points of failure, track provenance, and assess risk exposure across your supply network.
Connect customer records, accounts, contacts, interactions, and purchases into a single graph to understand household relationships and cross-sell opportunities.
Represent IT, telecoms, or energy networks as graphs to perform impact analysis, root cause identification, and capacity planning.
Talk to a SolveBI Fabric consultant about how Graph Instance can surface the relationship intelligence hidden in your data.