Amplitude vs Databricks

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

AI visibility is closely matched (90 vs 93)
Amplitude logo

Amplitude

EmergingData & Analytics

Product Analytics + Engagement

NASDAQ-listed (AMPL) product analytics platform with behavioral analytics, funnel analysis, and A/B testing; competing with Mixpanel and Pendo for 3,500+ enterprise customers including PayPal and Walmart at $310M revenue.

AI VisibilityBeta
Overall Score
A90
Category Rank
#5 of 161
AI Consensus
74%
Trend
stable
Per Platform
ChatGPT
95
Perplexity
87
Gemini
93

About

Amplitude is a San Francisco-based digital analytics platform enabling product teams to understand user behavior, measure feature engagement, optimize conversion funnels, and run A/B experiments across web and mobile applications. Listed on NASDAQ (NASDAQ: AMPL), Amplitude was founded in 2012 by CEO Spenser Skates, Curtis Liu, and Jeffrey Wang and generated approximately $310 million in revenue in fiscal year 2024, serving 3,500+ enterprise and mid-market customers including Intuit, PayPal, Walmart, and Peloton for data-driven product decision-making.

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

90
Overall Score
93
#5
Category Rank
#1
74
AI Consensus
83
stable
Trend
stable
95
ChatGPT
90
87
Perplexity
91
93
Gemini
93
86
Claude
96
86
Grok
89

Key Details

Category
Product Analytics + Engagement
MLOps
Tier
Emerging
Leader
Entity Type
company
company

Capabilities & Ecosystem

Capabilities

Only Amplitude
Product Analytics + Engagement
Only Databricks
MLOps

Integrations

Amplitude is classified as company. Databricks is classified as company.

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