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Checkly vs Google Vertex AI

Checkly logo

Checkly

Logging

Active reliability platform combining uptime monitoring, API testing, and incident response

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 Checkly has a free tier, so it costs nothing to try first.
  • Each has a real cost: Checkly free tier has limited check allocations per month; Google Vertex AI vendor lock-in to Google Cloud ecosystem makes migration to other platforms difficult
  • They diverge on capability: Checkly covers Uptime monitoring, Google Vertex AI covers AutoML.

Where they differ

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

Attributes where Checkly and Google Vertex AI differ
AttributeChecklyGoogle Vertex AI
Starting priceFreeOn request
Pricing modelsubscriptionUnknown
Free tierYesNo
PlatformsWeb, CLI, APICloud, Web
CategoryLoggingMachine Learning
FoundedUnknown2008

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 Checkly

  • Uptime monitoring
  • Synthetic browser testing
  • API monitoring
  • Heartbeat monitoring
  • Monitoring-as-Code
  • Status pages
  • Root cause analysis
  • Global locations

Only in Google Vertex AI

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

What people use each for

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

Checkly

  • Monitor API endpoints with custom assertionsnot Google Vertex AI
  • Test user journeys with browser automationnot Google Vertex AI
  • Detect performance degradation across regionsnot Google Vertex AI
  • Verify DNS and TCP connectivitynot Google Vertex AI
  • Ensure cron jobs and background tasks completenot Google Vertex AI

Google Vertex AI

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

Where each one falls short

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

Checkly

  • Free tier has limited check allocations per month
  • Overage charges can add up with high-volume workloads
  • Status pages require separate paid tier
  • Root cause analysis is separate billing component

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

Checkly

Free
  • HobbyFree
    • 10 uptime monitors
    • 1,000 browser checks monthly
    • 10,000 API checks monthly
  • Team$64/month
    • 75 uptime monitors
    • 12,000 browser checks monthly
    • 100,000 API checks monthly
  • Enterprise$undefined/custom
    • Custom monitor quantities
    • All 22 global locations
    • 1-second check frequency

Google Vertex AI

On request

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

Which should you pick?

Choose Checkly if

  • You need uptime monitoring.
  • You want to start without paying.
  • You work on Web, CLI, API.
  • You also want synthetic browser testing.
Checkly 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 Checkly or Google Vertex AI better?
Neither clearly leads. Checkly 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, Checkly or Google Vertex AI?
Checkly has a free tier; the other does not. Paid plans start at Free for Checkly and On request for Google Vertex AI.
Does Checkly or Google Vertex AI run on more platforms?
Checkly runs on Web, CLI, API. Google Vertex AI runs on Cloud, Web.
Can I use Checkly for free?
Yes. Checkly has a free tier, so you can try it without paying. Google Vertex AI starts at On request.
What is Checkly best used for?
Checkly is most often used for monitor api endpoints with custom assertions, test user journeys with browser automation, detect performance degradation across regions, verify dns and tcp connectivity. Of those, monitor api endpoints with custom assertions and test user journeys with browser automation are not what Google Vertex AI is typically brought in for.
What can Checkly do that Google Vertex AI cannot?
Checkly covers Uptime monitoring, Synthetic browser testing, API monitoring, Heartbeat monitoring. Google Vertex AI covers AutoML, Custom training, Feature Store, Model monitoring.

Answered from the vendors’ own pages

Checkly: What is included in the free Checkly plan?

The free Hobby plan includes 10 uptime monitors, 1,000 monthly browser checks, 10,000 monthly API checks, 6 monitoring locations, and 2-minute minimum check frequency with email, Slack, and webhook alerts.

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
Checkly: Can I write monitoring checks in my preferred language?

Yes, Checkly uses TypeScript/JavaScript for monitoring-as-code, integrated with Playwright for browser testing and supporting REST API testing.

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
Checkly: How much does status page add to my bill?

Status pages cost between $0-$30/month depending on your plan tier, billed separately from core monitoring.

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
Checkly: What is the minimum check frequency?

The Hobby and Starter plans support 2-minute and 1-minute minimums respectively. The Team plan supports 30-second intervals, while Enterprise offers 1-second minimum frequency.

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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