Databricks vs Grow

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

The short answer

Grow is the stronger AI pick in Business Intelligence: it has a visibility score of 5.7 versus 4.3 for Databricks, and ranks ahead in 100% of the answers that name both.

Choose Databricks if…

AI answers describe it more positively (35% vs 0% positive)
You need ISO 27001 or ISO 27017 or ISO 27018 or ISO 27701 or SOC 1 or SOC 2 Type II or SOC 3 coverage
Lakehouse architecture combining data warehousing with data lake flexibility
Strong for machine learning, AI, and data engineering workloads

Choose Grow if…

You want the brand AI engines rank higher (5.7 vs 4.3)
You need SOC 2 Type 1 and Type 2 or GDPR coverage

AI visibility side by side

Latest weekly run · Nov 2

Metric	Databricks	Grow
Visibility score	4.3%	5.7%
Change vs last week	New	New
Rank in Business Intelligence	#18	#13
Share of voice	1.6%	1.1%
Mentions this run	8	6
Positive in AI answers	35%	0%

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

Visibility score trend

Weekly runs over the last 60 days

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

Engine by engine

Grow leads on 2 of 3 engines

ChatGPT

AI Mode

3.7%

Perplexity

6.3%

9.1%

DatabricksGrow

Head to head in AI answers

1 engine answers name both brands

0Databricks ranked higher

1Grow ranked higher

Prompt	Engine	Databricks	Grow
What features matter most in a business intelligence tool?	Perplexity	#4	#1

Features, pricing & fit

Dimension	Databricks	Grow
Deployment	Available across all major cloud providers	Servers hosted on Amazon Web Services
Integrations	—	150+
Compliance	ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3	SOC 2 Type 1 and Type 2, GDPR
Support	Technical support on request, Technical documentation	Help Center
Founded	2013	—
Headquarters	San Francisco, CA	—
Employees	5,000+	—
Funding	Round at $60B valuation, including secondary sale	Series B · $26M raised
Best for	Data engineering, data science, analytics and AI teams at startups and global enterprises	Businesses that want teams, including those without SQL skills, to explore data and make faster decisions without relying on analysts or engineers.