YipitData vs Databricks

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

Databricks leads in AI visibility (93 vs 72)
YipitData logo

YipitData

LeaderData & Analytics

Alternative Data & Market Intelligence

YipitData is the leading alternative data provider for institutional investors, analyzing billions of web data points to generate proprietary KPIs on companies across ridesharing, e-commerce, streaming, and payments verticals.

AI VisibilityBeta
Overall Score
B72
Category Rank
#32 of 161
AI Consensus
81%
Trend
stable
Per Platform
ChatGPT
75
Perplexity
69
Gemini
67

About

YipitData is a market research and alternative data company founded in 2010 and headquartered in New York City. The company aggregates and analyzes billions of data points from web sources — including transaction data, app usage, and consumer behavior signals — to deliver proprietary KPIs and actionable insights for institutional investors, hedge funds, and corporate strategy teams. YipitData''s research covers fast-growing digital sectors such as ridesharing, e-commerce, streaming video, and payment processing, providing granular visibility into company performance before official earnings releases.

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

72
Overall Score
93
#32
Category Rank
#1
81
AI Consensus
83
stable
Trend
stable
75
ChatGPT
90
69
Perplexity
91
67
Gemini
93
72
Claude
96
69
Grok
89

Key Details

Category
Alternative Data & Market Intelligence
MLOps
Tier
Leader
Leader
Entity Type
brand
company

Capabilities & Ecosystem

Capabilities

Only Databricks
MLOps
Databricks is classified as company.

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