Holistics vs Databricks

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

Databricks leads in AI visibility (79 vs 20)
Holistics logo

Holistics

GrowthData & Analytics

Self-Serve BI Platform

Self-serve BI platform with a code-based semantic modeling layer that lets data teams define metrics once and share governed reports across the organization.

AI VisibilityBeta
Overall Score
D20
Category Rank
#1 of 1
AI Consensus
75%
Trend
up
Per Platform
ChatGPT
12
Perplexity
17
Gemini
14

About

Holistics is a business intelligence platform founded in 2016 and headquartered in Singapore, built around the idea that BI should be governed by data teams but accessible to everyone in an organization. Its core differentiator is a code-based data modeling layer — called AML (Analytic Modeling Language) — that allows analysts to define metrics, relationships, and business logic in version-controlled code rather than ad-hoc SQL. This single source of truth for metrics ensures consistency across all reports and dashboards, eliminating the discrepancy problem that plagues spreadsheet-driven BI workflows.

Full profile
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

AI Visibility Head-to-Head

20
Overall Score
79
#1
Category Rank
#1
75
AI Consensus
58
up
Trend
stable
12
ChatGPT
72
17
Perplexity
79
14
Gemini
73
17
Claude
86
23
Grok
87

Key Details

Category
Self-Serve BI Platform
MLOps
Tier
Growth
Leader
Entity Type
brand
company

Capabilities & Ecosystem

Capabilities

Only Holistics
Self-Serve BI Platform
Only Databricks
MLOps
Databricks is classified as company.

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