Arize vs ZenML

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

The short answer

ZenML is the stronger AI pick in MLOps Platforms: it has a visibility score of 6 versus 1.5 for Arize, and ranks ahead in 50% of the answers that name both.

Choose Arize if…

You need a self-hosted or on-premises option
You need PCI DSS or HIPAA or GDPR coverage
You prefer a larger, established vendor (51–200 employees)

Choose ZenML if…

You want the brand AI engines rank higher (6 vs 1.5)
You want a lower entry price ($39 vs $50)
You need more native integrations (66+ vs 40+)
AI answers describe it more positively (55% vs 20% positive)

AI visibility side by side

Latest weekly run · Nov 2

Metric	Arize	ZenML
Visibility score	1.5%	6%
Change vs last week	New	New
Rank in MLOps Platforms	#34	#14
Share of voice	0.7%	1.5%
Mentions this run	5	11
Positive in AI answers	20%	55%

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

Visibility score trend

Weekly runs over the last 60 days

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

Engine by engine

ZenML leads on 2 of 3 engines

ChatGPT

2.8%

11.7%

AI Mode

0.9%

6.3%

Perplexity

0.9%

ArizeZenML

Head to head in AI answers

2 engine answers name both brands

1Arize ranked higher

1ZenML ranked higher

Prompt	Engine	Arize	ZenML
What are the best MLOps Platforms tools in 2026?	ChatGPT	#17	#9
Best MLOps platform with AI features	ChatGPT	#12	#14

Features, pricing & fit

Dimension	Arize	ZenML
Pricing model	Flat tiers	Flat tiers
Entry price	Free; paid from $50 / mo	Free; paid from $39 / mo
Free plan	Yes	Yes
Deployment	SaaS, with self-hosted deployment on the Enterprise plan; Phoenix runs locally or self-hosted.	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	40+	66+
Compliance	SOC 2 Type II, ISO 27001, PCI DSS, HIPAA, GDPR	SOC 2 Type II, ISO 27001
Support	Community, Email, Dedicated support on Enterprise	Community Slack, Email, Dedicated support with SLA on Enterprise, Workshops and architecture reviews on Enterprise
Founded	2020	2021
Headquarters	—	Munich, Germany
Employees	51–200	11–50
Funding	Series B-1 extension · $131M raised	Seed extension · $6M raised
Best for	AI engineering teams building and running production AI agents and LLM applications who need observability and evaluations.	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.