LakeFusion helps enterprises create trusted, governed, AI-ready data inside Databricks — with marketplace availability across AWS, Microsoft, and Databricks ecosystems.
Five things show up consistently when cloud, lakehouse, and external business data are connected through LakeFusion.
Records from CRM, ERP, finance, and external sources resolve to a single golden record per company. Analytics, AI, and operations stop reconciling versions of the same entity.
Manual cross-system reconciliation work.
No pipeline that copies data out to a separate MDM stack and back. Mastering happens where the data already lives.
External MDM stack and copy-out pipelines.
Resolution confidence backed by external business data, with lineage from source records to golden record retained.
Brittle rule-based matching with no audit trail.
Models train on entities that already match the business. Feature engineering doesn't keep getting rewritten.
AI projects stalled on data quality.
Unity Catalog covers what LakeFusion produces. Governance isn't stitched together across separate tools.
Governance gaps between cloud and lakehouse tools.
If your team uses databricks, LakeFusion fits right in, running on governed lakehouse data with your security model. Three reasons it is worth 20 minutes.
Help customers evaluate and procure LakeFusion through familiar software marketplace motions.
Collaborate on accounts already prioritizing MDM, governance, and lakehouse modernization.
Bring trusted external data into matching, enrichment, and survivorship workflows.
Support domain-aware data workflows across healthcare, finance, retail, and manufacturing.
