Starburst vs Databricks

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

Databricks leads in AI visibility (79 vs 29)
Starburst logo

Starburst

GrowthData & Analytics

Distributed SQL Engine

Starburst is an enterprise SQL query engine built on Trino for federated analytics across data lakes, warehouses, and operational databases without data movement.

AI VisibilityBeta
Overall Score
D29
Category Rank
#1 of 1
AI Consensus
68%
Trend
up
Per Platform
ChatGPT
34
Perplexity
39
Gemini
29

About

Starburst is an enterprise data analytics platform built on Trino, the open-source distributed SQL query engine originally developed at Facebook. The platform enables organizations to run SQL queries across heterogeneous data sources — cloud storage, data warehouses, relational databases, and streaming systems — without copying or moving data into a central repository. This federated query model lets data teams analyze data where it lives, reducing pipeline complexity and enabling real-time access to operational data alongside historical data in the lake.

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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.

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AI Visibility Head-to-Head

29
Overall Score
79
#1
Category Rank
#1
68
AI Consensus
58
up
Trend
stable
34
ChatGPT
72
39
Perplexity
79
29
Gemini
73
32
Claude
86
25
Grok
87

Key Details

Category
Distributed SQL Engine
MLOps
Tier
Growth
Leader
Entity Type
brand
company

Capabilities & Ecosystem

Capabilities

Only Starburst
Distributed SQL Engine
Only Databricks
MLOps
Databricks is classified as company.

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