Starburst vs Databricks

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

Databricks leads in AI visibility (93 vs 52)
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
C52
Category Rank
#98 of 161
AI Consensus
72%
Trend
stable
Per Platform
ChatGPT
50
Perplexity
58
Gemini
47

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
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.

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AI Visibility Head-to-Head

52
Overall Score
93
#98
Category Rank
#1
72
AI Consensus
83
stable
Trend
stable
50
ChatGPT
90
58
Perplexity
91
47
Gemini
93
50
Claude
96
56
Grok
89

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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