Amplitude vs Databricks

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

Databricks leads in AI visibility (79 vs 23)
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
D23
Category Rank
#1 of 1
AI Consensus
65%
Trend
up
Per Platform
ChatGPT
22
Perplexity
18
Gemini
17

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
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

23
Overall Score
79
#1
Category Rank
#1
65
AI Consensus
58
up
Trend
stable
22
ChatGPT
72
18
Perplexity
79
17
Gemini
73
26
Claude
86
31
Grok
87

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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