Software · head to head
Google Vertex AI vs Sketch

Google Vertex AI
Software
Unified ML platform to build, deploy, and scale AI models
- From
- On request
- Rated
- -
The short version
- Each has a real cost: Google Vertex AI vendor lock-in to Google Cloud ecosystem makes migration to other platforms difficult; Sketch macOS-only for editing, blocking Windows and Linux users from accessing design features
- They diverge on capability: Google Vertex AI covers AutoML, Sketch covers Vector editing.
Where they differ
Only the attributes on which Google Vertex AI and Sketch actually diverge.
| Attribute | Google Vertex AI | Sketch |
|---|---|---|
| Starting price | On request | $12/month |
| Platforms | Cloud, Web | macOS, Web, iOS, iPad |
| Founded | 2008 | 2010 |
Identical on both: pricing model (Unknown), free tier (No), user rating (Not yet rated), category (Unknown).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Google Vertex AI
- AutoML
- Custom training
- Feature Store
- Model monitoring
- Prediction serving
- BigQuery
- Cloud Storage
- TensorFlow
Only in Sketch
- Vector editing
- Symbols & components
- Prototyping
- Real-time collaboration
- Developer handoff
- Plugins ecosystem
- Cloud sync
- Version history
What people use each for
The jobs each tool is most often brought in to do.
Google Vertex AI
- Machine learningnot Sketch
- Data analysisnot Sketch
- Model trainingnot Sketch
- Predictive analyticsnot Sketch
Sketch
- UI designnot Google Vertex AI
- Mobile app designnot Google Vertex AI
- Web designnot Google Vertex AI
- Design systemsnot Google Vertex AI
- Prototypingnot Google Vertex AI
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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
Sketch
- macOS-only for editing, blocking Windows and Linux users from accessing design features
- Real-time collaboration feels less seamless than Figma with occasional sync delays
- Limited built-in image editing capabilities, requiring external software for bitmap work
- Subscription required for cloud features and collaboration, losing access if subscription lapses
Pricing, plan by plan
Google Vertex AI
On requestNo published plan breakdown. See the Google Vertex AI review.
Sketch
$12/month- Standard$12/month
- Real-time collaboration
- Unlimited documents
- Unlimited free viewers
- Professional$24/month
- Everything in Standard
- Single Sign-On (SSO)
- Project archiving
- Enterprise$44/month
- Everything in Professional
- SCIM provisioning
- BYOK encryption
- Mac-only License$120/perpetual
- Native Mac app
- Offline access
- Local file saving
Which should you pick?
Choose Google Vertex AI if
- You need automl.
- You work on Cloud, Web.
- You also want custom training.
Choose Sketch if
- You need vector editing.
- You work on macOS, Web, iOS, iPad.
- You also want symbols & components.
Questions people ask
- Is Google Vertex AI or Sketch better?
- Neither clearly leads. Google Vertex AI starts at On request and Sketch at $12/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Google Vertex AI or Sketch?
- Google Vertex AI starts at On request and Sketch at $12/month.
- Does Google Vertex AI or Sketch run on more platforms?
- Google Vertex AI runs on Cloud, Web. Sketch runs on macOS, Web, iOS, iPad.
- What is Google Vertex AI best used for?
- Google Vertex AI is most often used for machine learning, data analysis, model training, predictive analytics. Of those, machine learning and data analysis are not what Sketch is typically brought in for.
- What can Google Vertex AI do that Sketch cannot?
- Google Vertex AI covers AutoML, Custom training, Feature Store, Model monitoring. Sketch covers Vector editing, Symbols & components, Prototyping, Real-time collaboration.
Answered from the vendors’ own pages
Google Vertex AI: 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.
SourceSketch: Is Sketch available for Windows or Linux?
No. Sketch is macOS-only for the design and prototyping features. Web and mobile apps provide viewing and collaboration, but editing requires macOS 14.0 or later.
SourceGoogle Vertex AI: What 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.
SourceSketch: Does Sketch offer a free trial?
Yes. Sketch provides a 30-day free trial with no credit card required. You can also purchase a one-time Mac-only license for $120 per seat instead of subscribing.
SourceGoogle Vertex AI: Does 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.
SourceSketch: What collaboration features does Sketch include?
Sketch supports real-time collaboration, unlimited document sharing, unlimited viewers, and version history on all paid subscription plans (Standard $12/month, Professional $24/month, Enterprise $44/month).
SourceGoogle Vertex AI: What deployment options are available in Vertex AI?
Vertex AI supports online predictions for real-time use cases and batch predictions for large-scale processing.
SourceSketch: Can I use Sketch offline?
Yes. The one-time Mac-only license ($120) allows you to use Sketch offline and save files locally, but it excludes cloud collaboration and iOS previewing features.
SourceRelated pages
More on Google Vertex AI
Keep looking
Other head to heads
- Google Vertex AI vs AWS SageMaker
- Google Vertex AI vs Azure Machine Learning
- Google Vertex AI vs DataRobot
- Google Vertex AI vs Snowflake
- Google Vertex AI vs TensorFlow
- Google Vertex AI vs Comet ML
- Google Vertex AI vs Keras
- Google Vertex AI vs MLflow
- Google Vertex AI vs Jupyter
- Google Vertex AI vs PyTorch
- Google Vertex AI vs scikit-learn
- Google Vertex AI vs Apache Spark MLlib
- Google Vertex AI vs Weights & Biases
- Google Vertex AI vs Alteryx
- Google Vertex AI vs Anaconda
- Google Vertex AI vs Databricks
- Google Vertex AI vs Dataiku
- Google Vertex AI vs DVC
- Google Vertex AI vs Asana
- Google Vertex AI vs ClickUp
- Google Vertex AI vs Figma
- Google Vertex AI vs Linear
- Google Vertex AI vs Monday.com
- Google Vertex AI vs Greenhouse
- Google Vertex AI vs Notion
- Google Vertex AI vs Amplitude
- Google Vertex AI vs Datadog
- Google Vertex AI vs PostHog
- Google Vertex AI vs PyCharm
- Google Vertex AI vs Docker
- Google Vertex AI vs Netlify
- Google Vertex AI vs Okta
- Google Vertex AI vs Aha!
- Google Vertex AI vs Coda
- Google Vertex AI vs Dashlane
- Google Vertex AI vs GitHub
- Sketch vs AWS SageMaker
- Sketch vs Azure Machine Learning
- Sketch vs DataRobot
- Sketch vs Snowflake
- Sketch vs TensorFlow
- Sketch vs Comet ML
- Sketch vs Keras
- Sketch vs MLflow
- Sketch vs Jupyter
- Sketch vs PyTorch
- Sketch vs scikit-learn
- Sketch vs Apache Spark MLlib
- Sketch vs Weights & Biases
- Sketch vs Alteryx
- Sketch vs Anaconda
- Sketch vs Databricks
- Sketch vs Dataiku
- Sketch vs DVC
- Sketch vs Asana
- Sketch vs ClickUp
- Sketch vs Figma
- Sketch vs Linear
- Sketch vs Monday.com
- Sketch vs Greenhouse
- Sketch vs Notion
- Sketch vs Amplitude
- Sketch vs Datadog
- Sketch vs PostHog
- Sketch vs PyCharm
- Sketch vs Docker
- Sketch vs Netlify
- Sketch vs Okta
- Sketch vs Aha!
- Sketch vs Coda
- Sketch vs Dashlane
- Sketch vs GitHub

