Evidence.dev vs Databricks

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

Databricks leads in AI visibility (79 vs 41)
Evidence.dev logo

Evidence.dev

EmergingData & Analytics

Code-Based BI

Open-source BI framework for building data reports and dashboards as code using SQL and Markdown, enabling version-controlled, developer-native analytics publishing.

AI VisibilityBeta
Overall Score
C41
Category Rank
#1 of 1
AI Consensus
69%
Trend
up
Per Platform
ChatGPT
43
Perplexity
51
Gemini
43

About

Evidence.dev is an open-source business intelligence framework founded in 2021 that takes a fundamentally different approach to reporting: instead of drag-and-drop dashboards, Evidence lets data teams write reports using SQL and Markdown in a code editor, then compiles them into fast, shareable static sites. This developer-native workflow treats reports as code — version-controlled in Git, reviewed in pull requests, and deployed through CI/CD pipelines — aligning data reporting with modern software engineering practices that data engineers already follow.

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

41
Overall Score
79
#1
Category Rank
#1
69
AI Consensus
58
up
Trend
stable
43
ChatGPT
72
51
Perplexity
79
43
Gemini
73
38
Claude
86
39
Grok
87

Key Details

Category
Code-Based BI
MLOps
Tier
Emerging
Leader
Entity Type
brand
company

Capabilities & Ecosystem

Capabilities

Only Evidence.dev
Code-Based BI
Only Databricks
MLOps
Databricks is classified as company.

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