Databricks Lakeflow Jobs
Databricks
Workflow automation for Databricks tasks, pipelines, and ML workloads with DAG, trigger, and observability support.
Curated by Tiberiu ArvaStale
Strengths
- Visual DAG orchestration
- Task branching, loops, and triggers
- Native notebook, pipeline, and ML workflow support
Practitioner note
Strong when orchestration mostly coordinates Databricks notebooks, pipelines, and ML runs, but it is not the same thing as a broad cross-SaaS automation layer.
Governance posture
Reviewed 2026-05-26Workspace data stays in the workspace region; audit logs are region-local.
SourceManaged SaaS on AWS/Azure/GCP; dedicated single-tenant available; no OSS self-hosted edition. (saas)
SourceAudit log system tables capture workspace/account events across the platform.
SourceDatabricks SOC 2 Type II across all clouds/regions.
SourceISO/IEC 27001:2022 certified across all three clouds.
SourceNo public ISO 42001 certification listed for Databricks as of 2026-05.
Data pipeline / ML workflow orchestrator, not an AI model provider. (role: not-applicable)
Proprietary Databricks service. (high)
SourceEU AI Act obligations
Risk tier: Not applicable · as of 2026-08-23Source-backed information mapped from Databricks Lakeflow Jobs's tracked risk tier — not legal advice. Obligations depend on how your organisation deploys the system; see the full obligation reference and timeline.
This record's EU AI Act risk tier is marked not applicable, so no tier-specific obligations attach. Deployers embedding it in an AI system in scope of the Act should assess that system's own tier.
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