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Comparison

Zenml vs Dagster

Zenml and Dagster both land on Depends.

Zenml

Depends
Confidence: Medium

Buy it if your ML/LLM team runs real Python pipelines and needs orchestration, reproducibility, and evaluation in one layer.

Dagster

Depends
Confidence: Medium

Buy it if you have a real data engineering team building Python pipelines that need lineage, observability, and scheduling.

Zenml versus Dagster
CompareZenmlDagster
VerdictDependsDepends
Best forML teams standardizing pipelinesPython-savvy data engineering teams
Who it's not forSolo data scientists doing one-off modelingSmall teams that just need scheduled scripts . use cron
PrivacyMultiple CVEs in the open-source core (2024-2025); ZenML Pro advertises SOC2 and ISO 27001.11Published security page with SSO/RBAC/audit logging; one disclosed 2025 local-file-inclusion CVE in the gRPC server.
Support qualityNo support evidence in sourcesNo support evidence in sources
Public sentimentUsers praise ZenML's documentation and orchestration experience, though some frame it primarily as an orchestrator layer.⁴Practitioners praise the asset-centric model and local developer experience, with little complaint volume in public sources.
Biggest gotchaCVE-2024-25723 was a critical server privilege-escalation flaw; patch self-hosted installs promptly.11Dagster is joining Prefect; expect product, roadmap, and possibly pricing changes during integration

Pick Zenml when

  • ML teams standardizing pipelines
  • LLM/agent teams needing evals
  • Multi-cloud Python shops
  • Teams outgrowing notebooks

When Zenml is not a fit

  • Solo data scientists doing one-off modeling
  • Teams needing only experiment tracking
  • No-code/BI analysts . this is a code-first framework
  • Anyone unwilling to run and patch self-hosted infra

Pick Dagster when

  • Python-savvy data engineering teams
  • dbt-centric analytics stacks
  • Teams needing asset lineage and observability
  • AI/data pipeline platforms

When Dagster is not a fit

  • Small teams that just need scheduled scripts . use cron
  • Non-Python shops without engineers to own it
  • Buyers wanting zero-infra managed ingestion . use Fivetran
  • Risk-averse buyers: vendor is merging into Prefect

Sources

  1. ZenML on GitHubgithub.com
    official
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