Databricks vs Looker

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

Looker leads in AI visibility (94 vs 79)
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.

Full profile
Looker logo

Looker

LeaderData & Analytics

Business Intelligence

Google Cloud BI platform with LookML semantic layer ensuring consistent metric definitions across enterprises; $2.6B Google acquisition competing with Tableau and Power BI for enterprise self-service analytics.

AI VisibilityBeta
Overall Score
A94
Category Rank
#3 of 7
AI Consensus
62%
Trend
stable
Per Platform
ChatGPT
89
Perplexity
97
Gemini
87

About

Looker is a business intelligence and data analytics platform now part of Google Cloud — providing the LookML data modeling language, self-service exploration tools, embedded analytics, and natural language querying capabilities that enable data teams to define metrics once and make them available consistently across the organization. Founded in 2012 in Santa Cruz, California by Lloyd Tabb and Ben Porterfield, Looker was acquired by Google for $2.6 billion in 2019 and has been integrated into Google Cloud as the primary BI platform alongside Google Looker Studio (formerly Data Studio).

Full profile

AI Visibility Head-to-Head

79
Overall Score
94
#1
Category Rank
#3
58
AI Consensus
62
stable
Trend
stable
72
ChatGPT
89
79
Perplexity
97
73
Gemini
87
86
Claude
85
87
Grok
99

Key Details

Category
MLOps
Business Intelligence
Tier
Leader
Leader
Entity Type
company
company

Capabilities & Ecosystem

Databricksintegrates withLooker

Capabilities

Only Databricks
MLOps
Only Looker
Business Intelligence

Integrations

Both integrate with
Only Looker
Databricks is classified as company. Looker is classified as company (part of Google Cloud).

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