LakeFusion in the Modern Data Ecosystem

LakeFusion helps enterprises create trusted, governed, AI-ready data inside Databricks — with marketplace availability across AWS, Microsoft, and Databricks ecosystems.

Amazon Web Services
CLOUD MARKETPLACE

LakeFusion is available through AWS Marketplace for enterprise teams that prefer marketplace-led software procurement and cloud-aligned deployment pathways.

AWS Marketplace availability

Marketplace-led procurement

Enterprise deployment pathways

Private offer readiness

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Microsoft Azure
CLOUD MARKETPLACE

For Azure customers, Lake Fusion supports enterprise data modernization programs where analytics, Al, identity, and governance teams are already standardized on Microsoft Infrastructure

Microsoft Marketplace availability

Enterprise procurement support

Azure-aligned deployment motion

Fit for data and Al modernization

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Dun & Bradstreet
DATA PROVIDER

LakeFusion can use Dun & Bradstreet business identity data, including D-U-N-S-based identifiers, to strengthen matching, enrichment, entity resolution, and golden-record workflows.

Business identity (D-U-N-S-based)

Higher match confidence

Entity resolution across hierarchies

Better customer and vendor records

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Outcomes

What customers actually get

Five things show up consistently when cloud, lakehouse,
and external business data are connected through LakeFusion.

One Acme Corp across every system

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.

Replaces

Manual cross-system reconciliation work.

MDM stays inside Databricks

No pipeline that copies data out to a separate MDM stack and back. Mastering happens where the data already lives.

Replaces

External MDM stack and copy-out pipelines.

Match decisions you can defend

Resolution confidence backed by external business data, with lineage from source records to golden record retained.

Replaces

Brittle rule-based matching with no audit trail.

AI teams stop waiting for clean data

Models train on entities that already match the business. Feature engineering doesn't keep getting rewritten.

Replaces

AI projects stalled on data quality.

Governance covers cloud and lakehouse together

Unity Catalog covers what LakeFusion produces. Governance isn't stitched together across separate tools.

Replaces

Governance gaps between cloud and lakehouse tools.

What sets LakeFusion apart at DAIS

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.

Marketplace
packaging

Help customers evaluate and procure LakeFusion through familiar software marketplace motions.

Enterprise account collaboration

Collaborate on accounts already prioritizing MDM, governance, and lakehouse modernization.

Data enrichment integrations

Bring trusted external data into matching, enrichment, and survivorship workflows.

Industry-specific deployments

Support domain-aware data workflows across healthcare, finance, retail, and manufacturing.