Entertainment Data Oracle vs Databricks

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

Entertainment Data Oracle logo

Entertainment Data Oracle

LeaderData & Analytics

TV Advertising Outcomes Analytics

EDO (Entertainment Data Oracle) is the TV outcomes analytics company — measuring search engagement lift from ads in real time for all major networks and studios, backed by $80M+ in equity funding.

About

Entertainment Data Oracle (EDO) is a New York City-based data analytics company that measures the real-world outcomes of TV advertising by tracking the immediate consumer engagement that ads generate — primarily through search behavior. When a brand airs a TV commercial, EDO measures the spike in branded search queries on Google that occurs within seconds of the ad airing, providing advertisers with real-time proof of engagement that correlates with purchase intent, brand recall, and downstream conversion outcomes.

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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
TV Advertising Outcomes Analytics
MLOps
Tier
Leader
Leader
Entity Type
brand
company

Capabilities & Ecosystem

Capabilities

Only Databricks
MLOps
Databricks is classified as company.

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