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AppDynamics vs Google Vertex AI

AppDynamics logo

AppDynamics

Logging

Enterprise Application Performance Management

From
$6/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: AppDynamics appdynamics.com/pricing returns a 301 redirect to Splunk's observability pricing page; the product is now sold as Splunk AppDynamics; Google Vertex AI vendor lock-in to Google Cloud ecosystem makes migration to other platforms difficult
  • They diverge on capability: AppDynamics covers Application performance monitoring, Google Vertex AI covers AutoML.

Where they differ

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

Attributes where AppDynamics and Google Vertex AI differ
AttributeAppDynamicsGoogle Vertex AI
Starting price$6/monthOn request
Pricing modelsubscriptionUnknown
PlatformsWeb, ApiCloud, Web
CategoryLoggingMachine Learning

Identical on both: free tier (No), user rating (Not yet rated), founded (2008).

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 AppDynamics

  • Application performance monitoring
  • Distributed tracing
  • Real-time analytics
  • Alert management
  • 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.

AppDynamics

  • Application performance monitoring for Java, .NET and other enterprise application stacksnot Google Vertex AI
  • Business transaction tracing across distributed application tiersnot Google Vertex AI
  • Infrastructure monitoring priced per vCPUnot Google Vertex AI

Google Vertex AI

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

Where each one falls short

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

AppDynamics

  • appdynamics.com/pricing returns a 301 redirect to Splunk's observability pricing page; the product is now sold as Splunk AppDynamics
  • Infrastructure Edition starts at $6 per vCPU per month billed annually, so cost scales with core count rather than host count
  • Premium Edition starts at $33 per host per month and Enterprise Edition at $50 per host per month, both billed annually
  • The published figures are starting prices only, with volume pricing requiring a sales quote

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

AppDynamics

$6/month
  • Infrastructure Edition$6/month
    • Infrastructure monitoring
  • Premium Edition$33/month
    • Infrastructure monitoring
    • Applications
    • APM
  • Enterprise Edition$50/month
    • Premium Edition features
    • Business Analytics

Google Vertex AI

On request

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

Which should you pick?

Choose AppDynamics if

  • You need application performance monitoring.
  • You work on Web, Api.
  • You also want distributed tracing.
AppDynamics 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 AppDynamics or Google Vertex AI better?
Neither clearly leads. AppDynamics starts at $6/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, AppDynamics or Google Vertex AI?
AppDynamics starts at $6/month and Google Vertex AI at On request.
Does AppDynamics or Google Vertex AI run on more platforms?
AppDynamics runs on Web, Api. Google Vertex AI runs on Cloud, Web.
What is AppDynamics best used for?
AppDynamics is most often used for application performance monitoring for java, .net and other enterprise application stacks, business transaction tracing across distributed application tiers, infrastructure monitoring priced per vcpu. Of those, application performance monitoring for java, .net and other enterprise application stacks and business transaction tracing across distributed application tiers are not what Google Vertex AI is typically brought in for.
What can AppDynamics do that Google Vertex AI cannot?
AppDynamics covers Application performance monitoring, Distributed tracing, Real-time analytics, Alert management. Google Vertex AI covers AutoML, Custom training, Feature Store, Model monitoring. Both handle Web support.

Answered from the vendors’ own pages

AppDynamics: How is AppDynamics priced?

AppDynamics uses a subscription model based on vCPU usage, billed annually. Infrastructure Edition starts at $6 per vCPU/month, Premium Edition at $33 per vCPU/month, and Enterprise Edition at $50 per vCPU/month. Additional capabilities like Secure Application, Real User Monitoring, and Synthetics have separate per-unit pricing.

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
AppDynamics: What add-on costs does AppDynamics charge?

Secure Application costs $13.75 per CPU core per month (billed annually). Real User Monitoring is $0.06 per 1000 tokens per month. Browser Synthetics costs $12 per test location per month. SAP Solutions monitoring is $95 per CPU core per month.

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
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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