LakeFusion unifies entities, products, and relationships into a governed AI-ready data foundation, built natively on databricks. Master records. Govern product data. Traverse relationships. All without moving data out of your lakehouse.
Resolve duplicate and fragmented records into governed golden records for customers, suppliers, companies, accounts, providers, and more.
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Make relationships queryable directly on databricks, from ownership structures and hierarchies to risk signals and multi-hop networks.
LakeFusion helps enterprise teams create governed records and relationships across complex, regulated, and high-volume data environments
Enterprise teams use LakeFusion to improve accuracy, reduce manual reconciliation, create governed data foundations for analytics, compliance, & AI.
Unifying customer accounts to unlock enterprise visibility
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Building a trusted company master for precision and compliance
Legacy data platforms often depend on disconnected tools, duplicated pipelines, and separate infrastructure. LakeFusion runs close to your databricks environment, so governance, security, and lineage stay intact.
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Clean, classify, and match fragmented records into golden entities, products, & relationships.
Apply role-based access, lineage, and Unity catalog controls across every trusted asset.
Send trusted data into analytics, BI, ML pipelines, applications, and AI workflows.
LakeFusion is designed so customer data stays inside the customer environment. It works with databricks governance, cloud security, encryption, and access controls, instead of forcing teams into another disconnected system.
LakeFusion sits on top of your existing environment, taking advantage of your existing security protocols
LakeFusion doesn't tie you to a single partner - choose from Databricks, AWS, Azure, or GCS
Share your data quickly and easily across your organization with pre-built connectors
