Tredence vs Databricks

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

Databricks leads in AI visibility (93 vs 54)
Tredence logo

Tredence

GrowthData & Analytics

AI & Data Science Consulting

$175M Series B from Advent International (2022); 3,500+ employees; last-mile AI/data science for retail, CPG, and healthcare.

AI VisibilityBeta
Overall Score
C54
Category Rank
#72 of 161
AI Consensus
75%
Trend
stable
Per Platform
ChatGPT
49
Perplexity
59
Gemini
53

About

Tredence is a data science and AI consulting firm specializing in last-mile data science solutions—delivering measurable business outcomes from AI and analytics investments rather than stopping at model development. The company serves Fortune 500 clients across retail, consumer packaged goods, healthcare, financial services, hi-tech, telecom, travel, and industrials, with practices spanning data engineering, AI strategy, customer analytics, and supply chain optimization.

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

54
Overall Score
93
#72
Category Rank
#1
75
AI Consensus
83
stable
Trend
stable
49
ChatGPT
90
59
Perplexity
91
53
Gemini
93
49
Claude
96
53
Grok
89

Key Details

Category
AI & Data Science Consulting
MLOps
Tier
Growth
Leader
Entity Type
brand
company

Capabilities & Ecosystem

Capabilities

Only Databricks
MLOps
Databricks is classified as company.

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