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Logging · head to head

Datadog Logs vs Google Vertex AI

Datadog Logs logo

Datadog Logs

Logging

Log Management and Analytics

From
$0.1/per GB ingested per month
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

  • Each has a real cost: Datadog Logs complex, multi-tiered pricing model based on ingestion, indexing, and storage; can become expensive at scale; Google Vertex AI vendor lock-in to Google Cloud ecosystem makes migration to other platforms difficult
  • They diverge on capability: Datadog Logs covers Log ingestion, Google Vertex AI covers AutoML.

Where they differ

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

Attributes where Datadog Logs and Google Vertex AI differ
AttributeDatadog LogsGoogle Vertex AI
Starting price$0.1/per GB ingested per monthOn request
Pricing modelusage-basedUnknown
PlatformsCloud (AWS, Azure, Google Cloud, Oracle Cloud)Cloud, Web
CategoryLoggingMachine Learning
Founded20102008

Identical on both: 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 Logs

  • Log ingestion
  • Full-text search
  • Custom dashboards
  • Log-based metrics
  • 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.

Datadog Logs

  • Centralised log aggregation and analysisnot Google Vertex AI
  • Multi-source log correlation with metrics and tracesnot Google Vertex AI
  • Root cause analysis and troubleshootingnot Google Vertex AI
  • Security monitoring and threat detectionnot Google Vertex AI

Google Vertex AI

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

Where each one falls short

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

Datadog Logs

  • Complex, multi-tiered pricing model based on ingestion, indexing, and storage; can become expensive at scale
  • Ingestion pricing of $0.10/GB can accumulate rapidly for high-volume logging environments

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 Logs

$0.1/per GB ingested per month

No published plan breakdown. See the Datadog Logs review.

Google Vertex AI

On request

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

Which should you pick?

Choose Datadog Logs if

  • You need log ingestion.
  • You work on Cloud (AWS, Azure, Google Cloud, Oracle Cloud).
  • You also want full-text search.
Datadog Logs 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 Logs or Google Vertex AI better?
Neither clearly leads. Datadog Logs starts at $0.1/per GB ingested per 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 Logs or Google Vertex AI?
Datadog Logs starts at $0.1/per GB ingested per month and Google Vertex AI at On request.
Does Datadog Logs or Google Vertex AI run on more platforms?
Datadog Logs runs on Cloud (AWS, Azure, Google Cloud, Oracle Cloud). Google Vertex AI runs on Cloud, Web.
What is Datadog Logs best used for?
Datadog Logs is most often used for centralised log aggregation and analysis, multi-source log correlation with metrics and traces, root cause analysis and troubleshooting, security monitoring and threat detection. Of those, centralised log aggregation and analysis and multi-source log correlation with metrics and traces are not what Google Vertex AI is typically brought in for.
What can Datadog Logs do that Google Vertex AI cannot?
Datadog Logs covers Log ingestion, Full-text search, Custom dashboards, Log-based metrics. Google Vertex AI covers AutoML, Custom training, Feature Store, Model monitoring. Both handle Web support.

Answered from the vendors’ own pages

Datadog Logs: What pricing options does Datadog offer for log ingestion and processing?

Log ingestion starts at $0.10/GB (annual billing; $0.10 on-demand). Standard indexing costs $1.70 per million events per month (annual; $2.55 on-demand). Flex Storage costs $0.05/million events stored per month (annual; $0.075 on-demand). Flex Logs Starter costs $0.60/million events stored per month (annual; $0.90 on-demand).

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 Logs: What retention options are available and how does it affect pricing?

Standard indexing offers 15-day retention with options for 3 to 30+ days. Flex Storage supports flexible retention up to 15 months. Flex Logs Starter includes bundled compute for retention of 3-15 months.

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 Logs: Is there a cost to forward logs to external systems?

Yes, log forwarding costs $0.25/GB outbound per destination for routing logs to external systems.

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 Logs: What discounts are available for high-volume customers?

Multi-year and volume discounts are available for customers processing 3B+ events per month.

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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