Vertex AI Pipelines
Google CloudServerless 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. Verified 2026-09-15 via the Vertex AI Pipelines documentation.
Openness
1 high confidence- license
- Proprietary
- service
- proprietary(Google Cloud managed service)
- source
- closed(no implementation is published
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open - Kubeflow Pipelines and TFX, both scored elsewhere on this map - but the service that executes the pipeline is unpublished and cannot be self-hosted, which is the question this dimension asks.
- 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 assessedNo 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 confidenceBand 3: the service decides when each pipeline task runs and runs it on compute it manages, without the user choosing or seeing the machine. Level with the other managed pipeline services.
- 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