Organizations today operate across multiple systems, departments, and channels—often leading to fragmented, inconsistent, and duplicate data. These discrepancies introduce risk, drive up costs, and slow down critical decision-making.
LakeFusion solves this by providing a modern, scalable, and intelligent MDM platform that ensures your master data is:
Unified across disparate systems
Cleansed of duplicates and inconsistencies
Governed through structured rules and lineage tracking
Available in real time for operational and analytical use cases
Databricks-Native Design
Unlike traditional MDM tools that require complex integrations, LakeFusion is purpose-built for the Databricks ecosystem. It directly integrates with Unity Catalog, Delta Lake, and Spark-based pipelines—offering native scalability and performance without bolt-on complexity.
AI-Powered Matching & Merging
Traditional rule-based MDM systems struggle with fuzzy matching and large volumes. LakeFusion uses AI and large language models (LLMs) to perform intelligent matching, reducing manual data stewardship and improving accuracy.
Faster Time-to-Value
With guided implementations and pre-built industry templates, LakeFusion can be deployed in as little as 6 weeks, enabling faster ROI and adoption.
Industry-Agnostic Flexibility
From healthcare and finance to retail and manufacturing, LakeFusion supports complex data domains and adapts to industry-specific requirements without compromising governance.
Cost-Effective Operations
Reduce costs related to poor data quality, redundant data pipelines, and compliance risks. LakeFusion automates and streamlines core MDM processes so teams can focus on strategy, not data wrangling.