Google Vertex AI vs ZenML
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Google Vertex AI is the stronger AI pick in MLOps Platforms: it has a visibility score of 33.1 versus 6 for ZenML, and ranks ahead in 100% of the answers that name both.
Choose Google Vertex AI if…
- You want the brand AI engines rank higher (33.1 vs 6)
- You need ISO/IEC 27001 or ISO/IEC 27017 or ISO/IEC 27018 or ISO/IEC 27701 or ISO/IEC 42001 or SOC 1 or SOC 2 or SOC 3 or HIPAA-related attestations or PCI DSS or FedRAMP-related items coverage
- unified ML platform across the lifecycle
- strong Google Cloud integration
Choose ZenML if…
- AI answers describe it more positively (55% vs 31% positive)
- You need SOC 2 Type II or ISO 27001 coverage
- Free and fully transparent open-source option
- Open-source and Kubernetes-native MLOps tool
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Google Vertex AI | ZenML |
|---|---|---|
| Visibility score | 33.1% | 6% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #5 | #14 |
| Share of voice | 7.2% | 1.5% |
| Mentions this run | 49 | 11 |
| Positive in AI answers | 31% | 55% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Google Vertex AI 0pp · ZenML 0pp over 0 weekly runs.
Engine by engine
Google Vertex AI leads on 3 of 3 engines
Head to head in AI answers
5 engine answers name both brands
| Prompt | Engine | Google Vertex AI | ZenML |
|---|---|---|---|
| How do I choose an MLOps platform for a mid-market team? | ChatGPT | #3 | #9 |
| What are the best MLOps Platforms tools in 2026? | ChatGPT | #3 | #9 |
| Best MLOps platform for startups | ChatGPT | #6 | #7 |
| Best MLOps platform with AI features | ChatGPT | #2 | #14 |
| Official website of the top MLOps platform vendors | ChatGPT | #4 | #17 |
Features, pricing & fit
| Dimension | Google Vertex AI | ZenML |
|---|---|---|
| Pricing model | — | Flat tiers |
| Entry price | — | Free; paid from $39 / mo |
| Free plan | — | Yes |
| Deployment | Managed cloud service on Google Cloud | 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/IEC 27001, ISO/IEC 27017, ISO/IEC 27018, ISO/IEC 27701, ISO/IEC 42001, SOC 1, SOC 2, SOC 3, HIPAA-related attestations, PCI DSS, FedRAMP-related items | SOC 2 Type II, ISO 27001 |
| Support | — | Community Slack, Email, Dedicated support with SLA on Enterprise, Workshops and architecture reviews on Enterprise |
| Founded | 2021 | 2021 |
| Headquarters | Mountain View, California, United States | Munich, Germany |
| Employees | — | 11–50 |
| Funding | — | Seed extension · $6M raised |
| Best for | — | 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. |
Plans side by side
Google Vertex AI
Pricing not available.
Pros and cons
Themes from the AI answers that mention each brand
Google Vertex AI
- unified ML platform across the lifecycle
- strong Google Cloud integration
- strong support for generative and foundation models
- robust MLOps and agentic workflow support
- $300 starter credits
- less developer-centric for Python, Kubernetes and Git-based teams
- usage-based costs depend on compute, storage and API usage
ZenML
- Free and fully transparent open-source option
- Open-source and Kubernetes-native MLOps tool
- Recommended starting point for MLOps lifecycle coverage
- Among the strongest MLOps platform alternatives
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Google Vertex AI vs ZenML”, https://slateindex.ai/compare/google-vertex-ai-vs-zenml, data of Nov 2, 2026. Licence: CC BY 4.0.