Sensei vs Databricks

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

Databricks leads in AI visibility (79 vs 37)
Sensei logo

Sensei

EmergingData & Analytics

General

Sensei is an AI-powered retail analytics platform that transforms point-of-sale and sensor data into real-time shelf intelligence, helping retailers reduce out-of-stocks and optimize store performance.

AI VisibilityBeta
Overall Score
D37
Category Rank
#750 of 1158
AI Consensus
77%
Trend
up
Per Platform
ChatGPT
34
Perplexity
35
Gemini
38

About

Sensei is a retail intelligence company that uses computer vision, AI, and in-store sensor networks to give retailers real-time visibility into what is happening on their shelves and throughout their stores. Founded in Lisbon, Portugal, Sensei has developed technology that can be deployed in physical retail environments to track product availability, detect misplacements, measure traffic patterns, and generate actionable insights that help store teams and headquarters make faster, better-informed decisions.

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

37
Overall Score
79
#750
Category Rank
#1
77
AI Consensus
58
up
Trend
stable
34
ChatGPT
72
35
Perplexity
79
38
Gemini
73
29
Claude
86
38
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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