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Azure Monitor vs Google Vertex AI

Azure Monitor logo

Azure Monitor

Logging

Azure's Monitoring and Diagnostics Service

From
Free
Rated
-
Full reviewWebsite
Google Vertex AI logo

Google Vertex AI

Machine Learning

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

From
On request
Rated
-
Full reviewWebsite

The short version

  • Only Azure Monitor has a free tier, so it costs nothing to try first.
  • Each has a real cost: Azure Monitor billed per GB ingested across three separate log plans, Auxiliary, Basic and Analytics, so the plan chosen changes the rate as much as the volume does; Google Vertex AI vendor lock-in to Google Cloud ecosystem makes migration to other platforms difficult
  • They diverge on capability: Azure Monitor covers Log collection, Google Vertex AI covers AutoML.

Where they differ

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

Attributes where Azure Monitor and Google Vertex AI differ
AttributeAzure MonitorGoogle Vertex AI
Starting priceFreeOn request
Pricing modelusage-basedUnknown
Free tierYesNo
PlatformsWeb, ApiCloud, Web
CategoryLoggingMachine Learning
Founded20102008

Identical on both: user rating (Not yet rated).

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 Azure Monitor

  • Log collection
  • Metrics collection
  • Alerts and notifications
  • Custom dashboards
  • API
  • Webhooks
  • REST
  • Api support

Only in Google Vertex AI

  • AutoML
  • Custom training
  • Feature Store
  • Model monitoring
  • Prediction serving
  • BigQuery
  • Cloud Storage
  • TensorFlow

Both cover

  • Web support

What people use each for

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

Azure Monitor

  • Collecting logs and metrics from Azure resourcesnot Google Vertex AI
  • Alerting on metric thresholds and log queriesnot Google Vertex AI
  • Application performance monitoring through Application Insightsnot Google Vertex AI
  • Long-term log retention for compliancenot Google Vertex AI
  • Querying operational data with KQLnot Google Vertex AI

Google Vertex AI

  • Machine learningnot Azure Monitor
  • Data analysisnot Azure Monitor
  • Model trainingnot Azure Monitor
  • Predictive analyticsnot Azure Monitor

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Azure Monitor

  • Billed per GB ingested across three separate log plans, Auxiliary, Basic and Analytics, so the plan chosen changes the rate as much as the volume does
  • Only the first 5 GB a month of Analytics logs is free per billing account
  • Retention beyond the base period is charged per GB per month, up to 2 years interactive and 12 years long term
  • Log queries and search jobs are billed per GB scanned, so investigating an incident costs money
  • Alert rules are billed per time series for metrics and by execution frequency for logs
  • The pricing page shows placeholders rather than rates until a region and currency are chosen

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

Pricing, plan by plan

Azure Monitor

Free
  • FreeFree
    • Log collection
    • Metrics collection
    • Alerts and notifications

Google Vertex AI

On request

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

Which should you pick?

Choose Azure Monitor if

  • You need log collection.
  • You want to start without paying.
  • You work on Web, Api.
  • You also want metrics collection.
Azure Monitor review

Choose Google Vertex AI if

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

Questions people ask

Is Azure Monitor or Google Vertex AI better?
Neither clearly leads. Azure Monitor starts at Free and Google Vertex AI at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Azure Monitor or Google Vertex AI?
Azure Monitor has a free tier; the other does not. Paid plans start at Free for Azure Monitor and On request for Google Vertex AI.
Does Azure Monitor or Google Vertex AI run on more platforms?
Azure Monitor runs on Web, Api. Google Vertex AI runs on Cloud, Web.
Can I use Azure Monitor for free?
Yes. Azure Monitor has a free tier, so you can try it without paying. Google Vertex AI starts at On request.
What is Azure Monitor best used for?
Azure Monitor is most often used for collecting logs and metrics from azure resources, alerting on metric thresholds and log queries, application performance monitoring through application insights, long-term log retention for compliance. Of those, collecting logs and metrics from azure resources and alerting on metric thresholds and log queries are not what Google Vertex AI is typically brought in for.
What can Azure Monitor do that Google Vertex AI cannot?
Azure Monitor covers Log collection, Metrics collection, Alerts and notifications, Custom dashboards. Google Vertex AI covers AutoML, Custom training, Feature Store, Model monitoring. Both handle Web support.

Answered from the vendors’ own pages

Azure Monitor: How does Azure Monitor billing work?

Billing is based on data volume ingested into Azure Monitor. Additional charges apply separately for alerts, notifications, web tests, and data export. Activity log and platform metrics are automatically collected with an Azure subscription.

Source
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
Azure Monitor: What savings are available with Azure Monitor?

Capacity reservations offer up to 36% savings compared to standard pay-as-you-go pricing when you commit to reserved capacity upfront.

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
Azure Monitor: Is there a free tier for Azure Monitor?

No dedicated free tier exists. Activity log and platform metrics are automatically collected with an Azure subscription, but detailed monitoring requires additional configuration and associated costs.

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
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