Waterplan vs Databricks

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

Databricks leads in AI visibility (79 vs 25)
Waterplan logo

Waterplan

EmergingData & Analytics

General

San Francisco AI water risk platform for multinationals quantifying financial exposure from water stress; $18.5M YC and Google-backed serving Coca-Cola and Diageo for SEC climate disclosure and TCFD water risk reporting.

AI VisibilityBeta
Overall Score
D25
Category Rank
#795 of 1158
AI Consensus
53%
Trend
up
Per Platform
ChatGPT
34
Perplexity
36
Gemini
23

About

Waterplan is a San Francisco-based climate technology company providing an AI-powered water risk intelligence platform that helps multinational corporations identify, quantify, and mitigate water-related financial risks across their industrial operations and supply chains. Founded in 2020 and backed by $18.5 million raised from Y Combinator, Google for Startups, and environmental investors including Leonardo DiCaprio's fund, Waterplan serves major corporations including Coca-Cola, Diageo, Colgate-Palmolive, and AB InBev — consumer goods companies where water access directly impacts production continuity and sustainability reporting obligations.

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

25
Overall Score
79
#795
Category Rank
#1
53
AI Consensus
58
up
Trend
stable
34
ChatGPT
72
36
Perplexity
79
23
Gemini
73
18
Claude
86
23
Grok
87

Key Details

Category
General
MLOps
Tier
Emerging
Leader
Entity Type
brand
company

Capabilities & Ecosystem

Capabilities

Only Databricks
MLOps
Databricks is classified as company.

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