BigQueryFully managed, serverless enterprise data warehouse from Google Cloud

DatabricksUnified data, analytics and AI platform on an open lakehouse

Comparison · Data Warehouse · weekly run Nov 3

BigQuery vs Databricks

Which one do AI engines recommend, and how do they differ on price, fit and features?

The short answer

BigQuery is the stronger AI pick in Data Warehouse: it has a visibility score of 63.6 versus 37.9 for Databricks, and ranks ahead in 69% of the answers that name both.

Choose BigQuery if…

You want the brand AI engines rank higher (63.6 vs 37.9)
AI answers describe it more positively (41% vs 35% positive)
You need SOC 2 or ISO/IEC 27001 or HIPAA or NIST 800-53 or NIST 800-171 or IRAP or GDPR or Cyber Essentials coverage
Serverless, highly scalable data warehouse

Choose Databricks if…

You need ISO 27001 or ISO 27017 or ISO 27018 or ISO 27701 or SOC 2 Type II coverage
Lakehouse architecture combining data warehousing with data lake flexibility
Strong for machine learning, AI, and data engineering workloads
Top customer satisfaction ratings alongside Snowflake

AI visibility side by side

Latest weekly run · Nov 3

Metric	BigQuery	Databricks
Visibility score	63.6%	37.9%
Change vs last week	New	New
Rank in Data Warehouse	#2	#4
Share of voice	12%	9.3%
Mentions this run	67	52
Positive in AI answers	41%	35%

The stronger value in each row is marked with a ✓.

Visibility score trend

Weekly runs over the last 60 days

BigQuery 0pp · Databricks 0pp over 0 weekly runs.

Engine by engine

BigQuery leads on 3 of 3 engines

ChatGPT

68.7%

46.1%

AI Mode

65.9%

35.4%

Perplexity

56.1%

32.2%

BigQueryDatabricks

Head to head in AI answers

54 engine answers name both brands

37BigQuery ranked higher

17Databricks ranked higher

Prompt	Engine	BigQuery	Databricks
How do I choose a data warehouse for a mid-market team?	ChatGPT	#2	#3
How do I choose a data warehouse for a mid-market team?	AI Mode	#4	#5
How do I choose a data warehouse for a mid-market team?	Perplexity	#1	#5
What features matter most in a data warehouse?	ChatGPT	#4	#7
What features matter most in a data warehouse?	AI Mode	#6	#7
What are common mistakes when buying a data warehouse?	ChatGPT	#2	#4
What should a data warehouse integrate with?	AI Mode	#4	#7
How long does it take to roll out a data warehouse?	AI Mode	#2	#3
What are the best data warehouse tools in 2026?	ChatGPT	#3	#2
What are the best data warehouse tools in 2026?	AI Mode	#4	#5
What are the best data warehouse tools in 2026?	Perplexity	#3	#2
Top data warehouse options for B2B SaaS companies	ChatGPT	#2	#4

Features, pricing & fit

Dimension	BigQuery	Databricks
Deployment	Serverless, runs only on Google Cloud	Available across all major cloud providers
Compliance	SOC 1, SOC 2, SOC 3, ISO/IEC 27001, HIPAA, NIST 800-53, NIST 800-171, IRAP, GDPR, Cyber Essentials	ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3
Support	—	Technical support on request, Technical documentation
Founded	—	2013
Headquarters	—	San Francisco, CA
Employees	—	5,000+
Funding	—	Round at $60B valuation, including secondary sale
Best for	—	Data engineering, data science, analytics and AI teams at startups and global enterprises