Profisee vs Databricks
Side-by-side comparison of AI visibility scores, market position, and capabilities
Profisee is a cloud-native MDM platform that enables enterprises to create and manage trusted master data across domains including customer, product, and supplier records.
About
Profisee is a cloud-native master data management platform that enables enterprises to create, manage, and distribute trusted master data across core business domains — customer, product, supplier, location, and employee — providing a governed golden record environment that resolves the conflicting and duplicate data records that accumulate in organizations with multiple operational systems. The platform's MDM hub consolidates records from source systems through an ingestion and matching process that identifies duplicate and related records across systems with different identifiers, data formats, and completeness levels, and merges them into a single authoritative master record that downstream systems and analytics can consume with confidence. Profisee's survivorship rules allow data stewards to define exactly how conflicting attribute values from different source systems are resolved — which system's phone number, address, or status field is authoritative under what conditions — making the golden record creation process transparent and governable rather than a black-box matching algorithm.
$4.8B revenue run-rate; 55% YoY growth; $134B valuation (Series L). Mosaic AI for enterprise LLM fine-tuning and inference; Unity Catalog for data governance. DBRX open-source model; every major enterprise AI deployment runs on the lakehouse.
About
Databricks was founded in 2013 by the original creators of Apache Spark — Ali Ghodsi, Matei Zaharia, and five other UC Berkeley researchers — to unify data engineering, analytics, and machine learning on a single platform. The company commercialized the lakehouse architecture, combining the flexibility of data lakes with the reliability of data warehouses. Databricks runs on AWS, Azure, and GCP and leads the commercial distribution of the open-source Delta Lake and MLflow projects.\n\nThe platform includes the Databricks Lakehouse for unified data processing, Unity Catalog for governance and lineage tracking, and Mosaic AI for enterprise LLM fine-tuning, model serving, and generative AI application development. It supports data engineering, SQL analytics, BI, feature engineering, and model training within a single governance perimeter, serving enterprises in financial services, healthcare, manufacturing, and media.\n\nDatabricks achieved a $4.8 billion annualized revenue run-rate in early 2025 with 55% year-over-year growth and a $62 billion valuation from its Series L round — one of the most valuable private software companies globally. Its dual role as the leading commercial lakehouse vendor and steward of influential open-source projects gives it a unique ecosystem advantage as enterprises accelerate investment in AI infrastructure.
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