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Datadog vs Google Vertex AI

Datadog logo

Datadog

Technology

Modern monitoring & security

From
$15/month
Rated
-
Full reviewWebsite
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

The short version

  • Each has a real cost: Datadog consumption-based pricing model makes costs hard to predict and can scale quickly; Google Vertex AI vendor lock-in to Google Cloud ecosystem makes migration to other platforms difficult
  • They diverge on capability: Datadog covers Infrastructure monitoring, Google Vertex AI covers AutoML.

Where they differ

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

Attributes where Datadog and Google Vertex AI differ
AttributeDatadogGoogle Vertex AI
Starting price$15/monthOn request
PlatformsWeb, Linux, Windows, macOSCloud, Web
CategoryTechnologyMachine Learning & Data Science
Founded20102008

Identical on both: pricing model (Unknown), free tier (No), 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 Datadog

  • Infrastructure monitoring
  • Application performance monitoring
  • Log management
  • Real user monitoring
  • Synthetic monitoring
  • Security monitoring
  • Network monitoring
  • Serverless monitoring

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.

Datadog

  • Infrastructure monitoringnot Google Vertex AI
  • Application performancenot Google Vertex AI
  • Security monitoringnot Google Vertex AI
  • Log analysisnot Google Vertex AI
  • Cloud monitoringnot Google Vertex AI

Google Vertex AI

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

Where each one falls short

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

Datadog

  • Consumption-based pricing model makes costs hard to predict and can scale quickly
  • Add-on modules significantly increase costs: custom metrics, indexed spans, extended retention
  • No free tier for production monitoring
  • High costs for organizations with large amounts of log data or high-cardinality metrics

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

Datadog

$15/month
  • Infrastructure Monitoring$15/month
    • Host monitoring
    • Basic dashboards
  • APM$31/month
    • Application performance monitoring
    • Trace collection
  • Log Management$0.1/gb
    • Log indexing
    • Search and filter

Google Vertex AI

On request

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

Which should you pick?

Choose Datadog if

  • You need infrastructure monitoring.
  • You work on Web, Linux, Windows, macOS.
  • You also want application performance monitoring.
Datadog 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 Datadog or Google Vertex AI better?
Neither clearly leads. Datadog starts at $15/month 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, Datadog or Google Vertex AI?
Datadog starts at $15/month and Google Vertex AI at On request.
Does Datadog or Google Vertex AI run on more platforms?
Datadog runs on Web, Linux, Windows, macOS. Google Vertex AI runs on Cloud, Web.
What is Datadog best used for?
Datadog is most often used for infrastructure monitoring, application performance, security monitoring, log analysis. Of those, infrastructure monitoring and application performance are not what Google Vertex AI is typically brought in for.
What can Datadog do that Google Vertex AI cannot?
Datadog covers Infrastructure monitoring, Application performance monitoring, Log management, Real user monitoring. Google Vertex AI covers AutoML, Custom training, Feature Store, Model monitoring.

Answered from the vendors’ own pages

Datadog: How is Datadog pricing structured?

Datadog uses consumption-based pricing tied to data volume ingested, hosts monitored, and products enabled. Infrastructure Monitoring starts at $15/host/month, APM at $31/host/month, and Log Management at $0.10/GB for indexed logs.

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
Datadog: Does Datadog offer a free tier?

Datadog offers a free trial but not a permanent free tier for production monitoring. Pricing begins with paid plans only.

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
Datadog: What integrations does Datadog support?

Datadog offers 1000+ built-in integrations including AWS, Kubernetes, Docker, Azure, GCP, and most major cloud platforms and services.

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
Datadog: Can Datadog monitor Kubernetes clusters?

Yes. The Datadog Agent runs as a DaemonSet to provide real-time visibility into pods, nodes, deployments, and control-plane health across major Kubernetes distributions including EKS, AKS, GKE, OpenShift, and others.

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
Datadog: How can I reduce Datadog costs?

Datadog bills based on indexed logs, custom metrics, and high-cardinality tags. Costs can be unpredictable and may run 2-3x estimates. Prepaying annually can secure 5-15% discounts.

Source
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