Google Vertex AIvs
AWS SageMaker
AWS SageMaker: Amazon's competing ML platform with comprehensive tools for building, training, and deploying models at scale
Google Vertex AI
Unified ML platform to build, deploy, and scale AI models
As of 30 August 2026, Google Vertex AI's pricing is not published; the vendor quotes on request. Google Vertex AI is a unified machine learning platform that brings together Google Cloud services for building ML applications. Softwr lists it under Machine Learning. Google Vertex AI is made by Google Cloud, launched in 2008, available on Web.
Overview
What Google Vertex AI does
Google Vertex AI is a unified machine learning platform that brings together Google Cloud services for building ML applications. It offers tools for data preparation, feature engineering, model training, deployment, and monitoring with AutoML and custom model capabilities.
What people use it for
- Machine learning
- Data analysis
- Model training
- Predictive analytics
The honest half
Where it falls short
Concrete and checkable, so you can decide whether any of them matter to you. This is the half of a review a vendor will not write about Google Vertex AI.
- Vendor lock-in to Google Cloud ecosystem makes migration to other platforms difficult
- Requires familiarity with Google Cloud Platform infrastructure and concepts
- Cost can escalate quickly with large training and inference workloads
Cross-shopped
What people choose instead of Google Vertex AI
Each pairing was judged by two reviewers asking whether a buyer would genuinely weigh the two against each other. The ones that failed were deleted rather than published.
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Capabilities
Features
AutoML
Custom training
Feature Store
Model monitoring
Prediction serving
BigQuery
Integration with BigQuery
Cloud Storage
Integration with Cloud Storage
TensorFlow
Integration with TensorFlow
PyTorch
Integration with PyTorch
Dataflow
Integration with Dataflow
Web support
Available on web
Answered, with sources
Questions people ask
Each answer names the page it came from, so you can check it rather than take our word for it.
What is the pricing model for Google Vertex AI?
Vertex AI uses a pay-as-you-go model with no upfront costs or lock-in fees. Costs vary by service: training is billed by compute resources and time (30-second increments), online predictions by machine type per hour, and batch predictions by compute time or per-record for specific AutoML types.
SourceWhat types of data can Vertex AI handle?
Vertex AI supports image, video, text, and tabular data types with tools for uploading, storing, and managing large datasets.
SourceDoes Vertex AI support custom model training?
Yes. Vertex AI supports both AutoML for automated machine learning and custom training code in Python, R, and other languages.
SourceWhat deployment options are available in Vertex AI?
Vertex AI supports online predictions for real-time use cases and batch predictions for large-scale processing.
SourceBehind it
Who makes Google Vertex AI
- Company
- Google Cloud
- Based in
- Mountain View, California
Timeline
Google Vertex AI over time
- Launch2021-05-18
Google launches Vertex AI as unified machine learning platform
Source
Keep looking
Where to go from Google Vertex AI
- Google Vertex AI alternativesEvery product people weigh against it
- Google Vertex AI pricingPlans, floors and what the tiers exclude
- Google Vertex AI badgesWhich rules it meets, and the figure behind each
- All Machine Learning softwareThe full category
- Best Machine Learning softwareThe shortlist, and how it was cut
Best Machine Learning software for
Compare Google Vertex AI with
- AWS SageMaker
- DataRobot
- Azure Machine Learning
- Databricks
- Snowflake
- Comet ML
- Dataiku
- Domino Data Lab
- DVC
- Kubeflow
- BentoML
- Pachyderm
- Apache Spark MLlib
- Weaviate
- Weights & Biases
- Alteryx
- Anaconda
- Domino Data Lab
Other Machine Learning software
Build, train, and deploy machine learning models at scale
Free, then $0.04/hour9 researched notesMicrosoft's managed platform for training, tracking and deploying models on Azure
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Free plan13 researched notesPlatform for tracking, comparing, and optimizing ML experiments
Free, then $19/mo13 researched notesBrowser-based platform where visual data preparation and written code share one pipeline
Free plan14 researched notesGit-style versioning for data sets and models, with the files kept in object storage
Free plan14 researched notesOpen source Python framework that packages models into deployable inference services
Free plan14 researched notesData versioning and container pipelines that run on your Kubernetes cluster
Free plan14 researched notesThe machine learning library inside Apache Spark, for data that will not fit on one machine
Free plan14 researched notes
Softwr does not host reviews and shows no star rating for Google Vertex AI, because a rating we did not collect is not ours to publish. What is here is the pricing and platform detail from the vendor’s own pages, limitations we could state concretely, and alternatives a reviewer confirmed people weigh against it. Tell us if any of it is wrong.
More on Google Vertex AI
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Google Vertex AI pricing
Every tier, and where the cost actually lands
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