Evidence.dev vs Databricks

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

Databricks leads in AI visibility (93 vs 34)
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
D34
Category Rank
#150 of 161
AI Consensus
78%
Trend
stable
Per Platform
ChatGPT
31
Perplexity
33
Gemini
32

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
A93
Category Rank
#1 of 161
AI Consensus
83%
Trend
stable
Per Platform
ChatGPT
90
Perplexity
91
Gemini
93

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

34
Overall Score
93
#150
Category Rank
#1
78
AI Consensus
83
stable
Trend
stable
31
ChatGPT
90
33
Perplexity
91
32
Gemini
93
40
Claude
96
34
Grok
89

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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