Anyscale 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 0.6 for Anyscale, and ranks ahead in 100% of the answers that name both.

Choose Anyscale if…

You need ISO/IEC 27001 coverage
You prefer a larger, established vendor (201–500 employees)
Usage-based pricing suits your budget better than flat tiers

Choose ZenML if…

You want the brand AI engines rank higher (6 vs 0.6)
You want a free plan to start
You need ISO 27001 coverage
Flat tiers pricing suits your budget better than usage-based

AI visibility side by side

Latest weekly run · Nov 2

Metric	Anyscale	ZenML
Visibility score	0.6%	6%
Change vs last week	New	New
Rank in MLOps Platforms	#43	#14
Share of voice	0.3%	1.5%
Mentions this run	2	11
Positive in AI answers	—	55%

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

Visibility score trend

Weekly runs over the last 60 days

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

Engine by engine

ZenML leads on 3 of 3 engines

ChatGPT

0.9%

11.7%

AI Mode

0.9%

6.3%

Perplexity

AnyscaleZenML

Head to head in AI answers

1 engine answers name both brands

0Anyscale ranked higher

1ZenML ranked higher

Prompt	Engine	Anyscale	ZenML
Official website of the top MLOps platform vendors	ChatGPT	#19	#17

Features, pricing & fit

Dimension	Anyscale	ZenML
Pricing model	Usage-based	Flat tiers
Entry price	Contact sales	Free; paid from $39 / mo
Free plan	No	Yes
Deployment	Hosted by Anyscale, or Bring Your Own Cloud (BYOC) inside the customer's own cloud or on-prem	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	SOC 2 Type II, ISO/IEC 27001	SOC 2 Type II, ISO 27001
Support	Business-hours support with 5 case submissions on hosted plans, 24x7 expert support with BYOC, Enterprise SLAs with 24x7 coverage and unlimited case submissions, Documentation, discussion forum and Slack community for Ray	Community Slack, Email, Dedicated support with SLA on Enterprise, Workshops and architecture reviews on Enterprise
Founded	2019	2021
Headquarters	San Francisco, California, USA	Munich, Germany
Employees	201–500	11–50
Funding	Series C (second tranche)	Seed extension · $6M raised
Best for	Python teams and foundation model builders that run data-intensive training, batch inference and data curation workloads on their own GPUs.	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.