A data fabric is an architectural layer that connects and unifies data spread across many systems, formats and owners, then exposes it through one consistent, governed interface. Instead of every application building its own point-to-point integrations, teams query the fabric — and the fabric handles the reconciliation, standardization and geography underneath.
Neighbourly is a data fabric for Canadian location data. It resolves addresses, boundaries, demographics, permits, schools, environmental and energy layers to a single geographic hierarchy and exposes them through one key and one schema. For public-sector teams especially, this means departments draw location context from a shared fabric rather than reconciling incompatible internal silos.
Related terms
Data Fabric is part of the Neighbourly data platform. Explore the API or browse the data layers.