Databricks vs ZenML

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

The short answer

Databricks is the stronger AI pick in MLOps Platforms: it has a visibility score of 46.2 versus 6 for ZenML, and ranks ahead in 63% of the answers that name both.

Choose Databricks if…

You want the brand AI engines rank higher (46.2 vs 6)
You need ISO 27017 or ISO 27018 or ISO 27701 or SOC 1 or SOC 3 coverage
You prefer a larger, established vendor (5,000+ employees)
Lakehouse architecture combining data warehousing with data lake flexibility

Choose ZenML if…

AI answers describe it more positively (55% vs 35% positive)
Free and fully transparent open-source option
Open-source and Kubernetes-native MLOps tool
Recommended starting point for MLOps lifecycle coverage

AI visibility side by side

Latest weekly run · Nov 2

Metric	Databricks	ZenML
Visibility score	46.2%	6%
Change vs last week	New	New
Rank in MLOps Platforms	#2	#14
Share of voice	7.6%	1.5%
Mentions this run	51	11
Positive in AI answers	35%	55%

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

Visibility score trend

Weekly runs over the last 60 days

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

Engine by engine

Databricks leads on 3 of 3 engines

ChatGPT

43.3%

11.7%

AI Mode

51.1%

6.3%

Perplexity

44.1%

DatabricksZenML

Head to head in AI answers

8 engine answers name both brands

5Databricks ranked higher

3ZenML ranked higher

Prompt	Engine	Databricks	ZenML
How do I choose an MLOps platform for a mid-market team?	ChatGPT	#4	#9
What are the best MLOps Platforms tools in 2026?	ChatGPT	#1	#9
Alternatives to the most popular MLOps platform	ChatGPT	#9	#3
Best MLOps platform with AI features	ChatGPT	#1	#14
How much does an MLOps platform cost per month?	AI Mode	#7	#3
Is there a free MLOps platform for small teams?	AI Mode	#2	#5
Which MLOps platform has transparent pricing?	AI Mode	#6	#4
Official website of the top MLOps platform vendors	ChatGPT	#1	#17

Features, pricing & fit

Dimension	Databricks	ZenML
Pricing model	—	Flat tiers
Entry price	—	Free; paid from $39 / mo
Free plan	—	Yes
Deployment	Available across all major cloud providers	Self-hosted open source, or ZenML's cloud. Enterprise runs on-prem or air-gapped in the customer's cloud, with data and compute staying in the customer's VPC.
Integrations	—	66+
Compliance	ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3	SOC 2 Type II, ISO 27001
Support	Technical support on request, Technical documentation	Community Slack, Email, Dedicated support with SLA on Enterprise, Workshops and architecture reviews on Enterprise
Founded	2013	2021
Headquarters	San Francisco, CA	Munich, Germany
Employees	5,000+	11–50
Funding	Round at $60B valuation, including secondary sale	Seed extension · $6M raised
Best for	Data engineering, data science, analytics and AI teams at startups and global enterprises	Data science and ML engineering teams that want pipelines and AI agents run on their own infrastructure, and agent teams that want to find the evals they are missing.