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Vertex AI Pipelines

closed / Overall score: n/a

Serverless managed service for running machine-learning pipelines on Google Cloud. Pipelines are defined with the Kubeflow Pipelines or TFX SDK and executed without the user managing orchestration infrastructure, with runs schedulable on a recurring basis and artifact lineage tracked in ML Metadata.

Google's documentation renamed this to Agent Platform Pipelines during 2026 and the cloud.google.com/vertex-ai/docs/pipelines path now redirects to a gemini-enterprise-agent-platform URL. The slug keeps the name the corpus already uses for Google's other Vertex products; the rename is a corpus-wide question rather than this record's.

Openness

1 high confidence

1.0

license: Proprietary
service: proprietary(Google Cloud managed service)
source: closed(no implementation is published

Vertex AI Pipelines is a managed Google Cloud service. The authoring SDKs are open, Kubeflow Pipelines and TFX, both scored elsewhere on this map, but the service that executes the pipeline is unpublished and cannot be self-hosted.

https://cloud.google.com/vertex-ai/docs/pipelines/introduction recorded 2026-09-15
Google's own introduction: the service 'lets you automate, monitor, and govern your machine learning (ML) systems in a serverless manner by using ML pipelines to orchestrate your ML workflows', batch-running pipelines defined with the Kubeflow Pipelines or TensorFlow Extended framework. Establishes a managed serverless service authored through open SDKs but executed by a closed one.

Adoption

not assessed

No usage figure is published for this service specifically. The vendor's platform as a whole is widely used, but nothing disclosed is specific to the orchestration product being scored, and it publishes no countable artifact - no package, repository or registry entry - so no level is assigned rather than one being inferred from the parent platform.

https://docs.cloud.google.com/gemini-enterprise-agent-platform/machine-learning/pipelines/schedule-pipeline-run recorded 2026-09-15
Google's pipeline scheduling documentation under the renamed path, read for a usage disclosure; it publishes none.

Capability

3 medium confidence

3.0

Vertex AI Pipelines decides when each pipeline task runs and executes it on compute it manages itself, without the user choosing or seeing the machine. That places it level with Kubeflow Pipelines, alongside the other managed pipeline services in this category.

https://cloud.google.com/vertex-ai/docs/pipelines/introduction recorded 2026-09-15
Google's pipelines introduction describing serverless orchestration, the KFP and TFX authoring frameworks, and ML Metadata lineage.

Verified 2026-09-15