Quantum Metric vs Databricks

Side-by-side comparison of AI visibility scores, market position, and capabilities

Quantum Metric logo

Quantum Metric

LeaderData & Analytics

Digital Experience Analytics

Quantum Metric is a leading digital analytics platform with 30+ consecutive quarters of growth, $100M+ ARR, $1B+ valuation, and $252M raised; used by enterprise retailers, airlines, and financial institutions.

About

Quantum Metric is an enterprise digital experience analytics platform that captures, analyzes, and quantifies the impact of every user interaction across web and mobile applications. Founded in 2015 by Mario Ciabarra and headquartered in Colorado Springs, Quantum Metric enables product, engineering, and analytics teams to identify friction in digital journeys, quantify the revenue impact of issues in real time, and prioritize fixes by business value rather than technical severity. Its platform continuously captures session data and auto-classifies errors, rage clicks, and abandonment events, surfacing actionable insights without requiring manual tagging.

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Databricks logo

Databricks

LeaderData & Analytics

MLOps

$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.

AI VisibilityBeta
Overall Score
B79
Category Rank
#1 of 2
AI Consensus
58%
Trend
stable
Per Platform
ChatGPT
72
Perplexity
79
Gemini
73

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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Key Details

Category
Digital Experience Analytics
MLOps
Tier
Leader
Leader
Entity Type
brand
company

Capabilities & Ecosystem

Capabilities

Only Databricks
MLOps
Databricks is classified as company.

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