Softwr

Machine Learning & Data Science · head to head

Google Vertex AI vs Looker

Google Vertex AI logo

Google Vertex AI

Machine Learning & Data Science

Unified ML platform to build, deploy, and scale AI models

From
On request
Rated
-
Full reviewWebsite
Looker logo

Looker

Spreadsheet & Data

Modern business intelligence platform by Google

From
On request
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Google Vertex AI vendor lock-in to Google Cloud ecosystem makes migration to other platforms difficult; Looker requires annual commitment with no month-to-month billing option
  • They diverge on capability: Google Vertex AI covers AutoML, Looker covers LookML Data Modeling.

Where they differ

Only the attributes on which Google Vertex AI and Looker actually diverge.

Attributes where Google Vertex AI and Looker differ
AttributeGoogle Vertex AILooker
PlatformsCloud, WebWeb, Cloud (Google Cloud Platform)
CategoryMachine Learning & Data ScienceSpreadsheet & Data

Identical on both: starting price (On request), pricing model (Unknown), free tier (No), user rating (Not yet rated), founded (2008).

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
  • Cloud Storage
  • TensorFlow
  • PyTorch

Only in Looker

  • LookML Data Modeling
  • Embedded Analytics
  • API Access
  • Version Control
  • Data Actions
  • Snowflake
  • Redshift
  • PostgreSQL

Both cover

  • BigQuery
  • Web support

What people use each for

The jobs each tool is most often brought in to do.

Google Vertex AI

  • Machine learningnot Looker
  • Data analysisnot Looker
  • Model trainingnot Looker
  • Predictive analyticsnot Looker

Looker

  • Business intelligence and interactive dashboards for data-driven decision makingnot Google Vertex AI
  • Embedded analytics for integrating BI capabilities into third-party applicationsnot 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

Looker

  • Requires annual commitment with no month-to-month billing option
  • Conversational analytics will incur token overage charges ($3.00 per 1M input tokens, $20.00 per 1M output tokens) after October 1, 2026

Pricing, plan by plan

Google Vertex AI

On request

No published plan breakdown. See the Google Vertex AI review.

Looker

On request

No published plan breakdown. See the Looker review.

Which should you pick?

Choose Google Vertex AI if

  • You need automl.
  • You work on Cloud, Web.
  • You also want custom training.
Google Vertex AI review

Choose Looker if

  • You need lookml data modeling.
  • You work on Web, Cloud (Google Cloud Platform).
  • You also want embedded analytics.
Looker review

Questions people ask

Is Google Vertex AI or Looker better?
Neither clearly leads. Google Vertex AI starts at On request and Looker at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Google Vertex AI or Looker?
Google Vertex AI starts at On request and Looker at On request.
Does Google Vertex AI or Looker run on more platforms?
Google Vertex AI runs on Cloud, Web. Looker runs on Web, Cloud (Google Cloud Platform).
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 Looker is typically brought in for.
What can Google Vertex AI do that Looker cannot?
Google Vertex AI covers AutoML, Custom training, Feature Store, Model monitoring. Looker covers LookML Data Modeling, Embedded Analytics, API Access, Version Control. Both handle BigQuery, Web support.

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.

Source
Google 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.

Source
Google 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.

Source
Google 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.

Source
ShareXLinkedInRedditWhatsAppEmail

Related pages

More on Google Vertex AI

More on Looker

Keep looking

Other head to heads