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Machine Learning · head to head

Google Vertex AI vs New Relic

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
New Relic logo

New Relic

Logging

Observability made simple

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only New Relic has a free tier, so it costs nothing to try first.
  • Each has a real cost: Google Vertex AI vendor lock-in to Google Cloud ecosystem makes migration to other platforms difficult; New Relic data ingest costs can be high for large-scale deployments with high logging volume, making budgeting difficult
  • They diverge on capability: Google Vertex AI covers AutoML, New Relic covers APM.

Where they differ

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

Attributes where Google Vertex AI and New Relic differ
AttributeGoogle Vertex AINew Relic
Starting priceOn requestFree
Free tierNoYes
PlatformsCloud, WebWeb, Api, Mobile
CategoryMachine LearningLogging

Identical on both: pricing model (Unknown), 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 Google Vertex AI

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

Only in New Relic

  • APM
  • Infrastructure Monitoring
  • Log Management
  • Browser Monitoring
  • Synthetic Monitoring
  • Mobile Monitoring
  • Kubernetes Monitoring
  • AI Ops

What people use each for

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

Google Vertex AI

  • Machine learningnot New Relic
  • Data analysisnot New Relic
  • Model trainingnot New Relic
  • Predictive analyticsnot New Relic

New Relic

  • Application monitoringnot Google Vertex AI
  • Infrastructure monitoringnot Google Vertex AI
  • Error trackingnot Google Vertex AI
  • Performance optimizationnot Google Vertex AI

Where each one falls short

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

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

New Relic

  • Data ingest costs can be high for large-scale deployments with high logging volume, making budgeting difficult
  • Core user licensing model adds complexity to pricing with distinction between full platform users and basic users
  • Default logs obfuscation may miss some sensitive patterns requiring custom configuration
  • Retention limits even on paid tiers require additional storage for long-term compliance requirements

Pricing, plan by plan

Google Vertex AI

On request

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

New Relic

Free

No published plan breakdown. See the New Relic review.

Which should you pick?

Choose Google Vertex AI if

  • You need automl.
  • You work on Cloud, Web.
  • You also want custom training.
Google Vertex AI review

Choose New Relic if

  • You need apm.
  • You want to start without paying.
  • You work on Web, Api, Mobile.
  • You also want infrastructure monitoring.
New Relic review

Questions people ask

Is Google Vertex AI or New Relic better?
Neither clearly leads. Google Vertex AI starts at On request and New Relic at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Google Vertex AI or New Relic?
New Relic has a free tier; the other does not. Paid plans start at On request for Google Vertex AI and Free for New Relic.
Does Google Vertex AI or New Relic run on more platforms?
Google Vertex AI runs on Cloud, Web. New Relic runs on Web, Api, Mobile.
Can I use New Relic for free?
Yes. New Relic has a free tier, so you can try it without paying. Google Vertex AI starts at On request.
What is Google Vertex AI best used for?
Google Vertex AI is most often used for machine learning, data analysis, model training, predictive analytics. Of those, machine learning and data analysis are not what New Relic is typically brought in for.
What can Google Vertex AI do that New Relic cannot?
Google Vertex AI covers AutoML, Custom training, Feature Store, Model monitoring. New Relic covers APM, Infrastructure Monitoring, Log Management, Browser Monitoring.

Answered from the vendors’ own pages

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
New Relic: Does New Relic offer a free tier?

Yes, New Relic's free tier is perpetual with no credit card required. It includes 100 GB of free data ingest monthly, one Full Platform User with access to all 50+ capabilities, and unlimited Basic Users for querying and dashboard creation.

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
New Relic: How much does New Relic cost for paid plans?

Paid plans start at $49 per month per core user. New Relic uses consumption-based pricing where you pay only for what you use. Annual commitment options are available with volume discounts for larger teams.

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
New Relic: What data retention is included in New Relic's free tier?

The free tier includes a minimum of 8 days data retention for troubleshooting. Paid plans offer extended retention periods and customizable data retention policies.

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
New Relic: How many integrations does New Relic support?

New Relic provides access to 780+ integrations and unlimited hosts at no additional cost. These include monitoring integrations for various cloud services, databases, and applications.

Source
New Relic: Can I use New Relic to monitor multiple cloud providers?

Yes, New Relic is cloud-agnostic and supports monitoring across AWS, Google Cloud, Azure, and on-premises infrastructure in a single platform.

Source
New Relic: What is New Relic's ownership structure today?

New Relic was acquired by TPG and Francisco Partners on July 31, 2023, for $6.5 billion and transitioned from a publicly traded company to a private company in November 2023.

Source
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