Databricks vs n8n

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

The short answer

n8n is the stronger AI pick in AI Agents: it has a visibility score of 22 versus 3 for Databricks, and ranks ahead in 0% of the answers that name both.

Choose Databricks if…

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
You prefer a larger, established vendor (5,000+ employees)
Lakehouse architecture combining data warehousing with data lake flexibility
Strong for machine learning, AI, and data engineering workloads

Choose n8n if…

You want the brand AI engines rank higher (22 vs 3)
AI answers describe it more positively (57% vs 35% positive)
You need a self-hosted or on-premises option
You need SOC 2 or GDPR coverage

AI visibility side by side

Latest weekly run · Nov 3

Metric	Databricks	n8n
Visibility score	3%	22%
Change vs last week	New	New
Rank in AI Agents	#30	#5
Share of voice	0.9%	4.4%
Mentions this run	6	30
Positive in AI answers	35%	57%

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

Visibility score trend

Weekly runs over the last 60 days

Databricks 0pp · n8n 0pp over 0 weekly runs.

Engine by engine

n8n leads on 3 of 3 engines

ChatGPT

3.7%

27.2%

AI Mode

7.6%

Perplexity

3.1%

31.3%

Databricksn8n

Head to head in AI answers

1 engine answers name both brands

1Databricks ranked higher

0n8n ranked higher

Prompt	Engine	Databricks	n8n
What should an AI agent platform integrate with?	ChatGPT	#9	#15

Features, pricing & fit

Dimension	Databricks	n8n
Deployment	Available across all major cloud providers	Hosted on n8n Cloud or self-hosted on-prem or with Docker.
Integrations	—	2000+
Compliance	ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3	SOC 2, GDPR
Support	Technical support on request, Technical documentation	Forum support on all plans, Email support on Enterprise, Dedicated support with SLA on Enterprise
Founded	2013	2019
Headquarters	San Francisco, CA	Berlin, Germany
Employees	5,000+	51–200
Funding	Round at $60B valuation, including secondary sale	Series C · $240M raised
Best for	Data engineering, data science, analytics and AI teams at startups and global enterprises	Technical teams that want the flexibility of code with the speed of no-code.