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Dynatrace vs Google Vertex AI

Dynatrace logo

Dynatrace

Logging

Application Performance Management and Observability

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 Dynatrace has a free tier, so it costs nothing to try first.
  • Each has a real cost: Dynatrace pricing is commitment based: rates require an annual platform level commitment rather than month to month purchase; Google Vertex AI vendor lock-in to Google Cloud ecosystem makes migration to other platforms difficult
  • They diverge on capability: Dynatrace covers AI-powered analytics, Google Vertex AI covers AutoML.

Where they differ

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

Attributes where Dynatrace and Google Vertex AI differ
AttributeDynatraceGoogle Vertex AI
Starting priceFreeOn request
Pricing modelsubscriptionUnknown
Free tierYesNo
PlatformsWeb, ApiCloud, Web
CategoryLoggingMachine Learning
Founded20052008

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 Dynatrace

  • AI-powered analytics
  • APM
  • Infrastructure monitoring
  • Log analysis
  • 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.

Dynatrace

  • Full stack application performance monitoring with automatic dependency discoverynot Google Vertex AI
  • Kubernetes and container platform observability priced per podnot Google Vertex AI
  • Log ingest, processing and query analyticsnot Google Vertex AI
  • Real user monitoring and session replay for web applicationsnot Google Vertex AI

Google Vertex AI

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

Where each one falls short

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

Dynatrace

  • Pricing is commitment based: rates require an annual platform level commitment rather than month to month purchase
  • Full-Stack Monitoring is priced at $58 per month per 8 GiB of host memory, so a 64 GiB host counts as eight units
  • Infrastructure Monitoring at $29 per host per month excludes code level tracing, which requires Full-Stack
  • Session Replay doubles Real User Monitoring cost from $2.25 to $4.50 per 1,000 sessions
  • Runtime Vulnerability Analytics and Runtime Application Protection are each charged separately at $13 per month per 8 GiB host on top of monitoring

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

Dynatrace

Free
  • FreeFree
    • AI-powered analytics
    • APM
    • Infrastructure monitoring

Google Vertex AI

On request

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

Which should you pick?

Choose Dynatrace if

  • You need ai-powered analytics.
  • You want to start without paying.
  • You work on Web, Api.
  • You also want apm.
Dynatrace 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 Dynatrace or Google Vertex AI better?
Neither clearly leads. Dynatrace 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, Dynatrace or Google Vertex AI?
Dynatrace has a free tier; the other does not. Paid plans start at Free for Dynatrace and On request for Google Vertex AI.
Does Dynatrace or Google Vertex AI run on more platforms?
Dynatrace runs on Web, Api. Google Vertex AI runs on Cloud, Web.
Can I use Dynatrace for free?
Yes. Dynatrace has a free tier, so you can try it without paying. Google Vertex AI starts at On request.
What is Dynatrace best used for?
Dynatrace is most often used for full stack application performance monitoring with automatic dependency discovery, kubernetes and container platform observability priced per pod, log ingest, processing and query analytics, real user monitoring and session replay for web applications. Of those, full stack application performance monitoring with automatic dependency discovery and kubernetes and container platform observability priced per pod are not what Google Vertex AI is typically brought in for.
What can Dynatrace do that Google Vertex AI cannot?
Dynatrace covers AI-powered analytics, APM, Infrastructure monitoring, Log analysis. Google Vertex AI covers AutoML, Custom training, Feature Store, Model monitoring. Both handle Web support.

Answered from the vendors’ own pages

Dynatrace: What is the pricing model for Dynatrace monitoring?

Dynatrace uses commitment-based platform subscription pricing with a minimum annual commitment at the platform level. You pay no per-capability or per-user fees. All capabilities are included day one and draw from your commitment at published rates.

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
Dynatrace: Is there an overage charge if I exceed my commitment?

No, there are no overage penalties. Excess usage continues at the same per-unit rates published on the rate card. The more you commit upfront, the deeper your discount.

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
Dynatrace: What is the cost for monitoring application infrastructure?

Application monitoring costs $7/month per host ($0.01/hour) for Foundation & Discovery, $29/month per host for Infrastructure Monitoring, or $58/month per 8 GiB of host memory for Full-Stack 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
Dynatrace: How much does log ingestion and querying cost?

Log Analytics pricing is $0.20/GiB for ingestion, then either $0.0007/GiB-day for retention with bundled queries (10-35 days retention included), or pay-per-query at $0.0007/GiB-day retention plus $0.0035 per GiB scanned.

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
Dynatrace: Is there a free trial available?

Yes, Dynatrace offers a 15-day free trial plus a sandbox environment for hands-on exploration at no cost.

Source
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