CoreLogic vs First American Data & Analytics (DataTree)

Property data and analytics (Spatial Web Services API) for underwriting, valuation, and hazard risk

Built for lenders, insurers, and underwriting teams that need property, valuation, and hazard-risk data via API at scale — CoreLogic's Spatial Web Services is genuinely deep, particularly for flood/wildfire/climate risk layered onto property records. This is enterprise data infrastructure requiring integration work, not a browsable tool, so a small acquisitions team wanting quick one-off property lookups will find it disproportionate; that use case is better served by a lighter, self-serve data API.

Parcel, ownership, HOA, lien, and mortgage/foreclosure data via DataTree, delivered by API and bulk licensing

Built for lenders, title companies, and data-driven acquisition teams needing parcel, ownership, HOA, lien, and foreclosure data via API or bulk license — DataTree's specific strength is in title-adjacent and distressed-property data that generalist property-data APIs cover less deeply. Enterprise pricing and a data-infrastructure delivery model (not a browsable app) mean this is for teams with engineering resources to integrate it, not for a small acquisitions team wanting quick lookups.