Machine Learning · head to head
Google Vertex AI vs Langfuse

Google Vertex AI
Machine Learning
Unified ML platform to build, deploy, and scale AI models
- From
- On request
- Rated
- -

Langfuse
Software Development
Simple pricing for projects of all sizes
- From
- Free
- Rated
- -
The short version
- Only Langfuse 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; Langfuse free Hobby plan limited to 2 users and 30-day data retention
Where they differ
Only the attributes on which Google Vertex AI and Langfuse actually diverge.
| Attribute | Google Vertex AI | Langfuse |
|---|---|---|
| Starting price | On request | Free |
| Pricing model | Unknown | freemium |
| Free tier | No | Yes |
| Platforms | Cloud, Web | Web |
| Category | Machine Learning | Software Development |
| Founded | 2008 | Unknown |
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 Google Vertex AI
- AutoML
- Custom training
- Feature Store
- Model monitoring
- Prediction serving
- BigQuery
- Cloud Storage
- TensorFlow
Only in Langfuse
Nothing recorded that Google Vertex AI does not also cover.
What people use each for
The jobs each tool is most often brought in to do.
Google Vertex AI
- Machine learningnot Langfuse
- Data analysisnot Langfuse
- Model trainingnot Langfuse
- Predictive analyticsnot Langfuse
Langfuse
No use cases recorded yet. See the Langfuse review.
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
Langfuse
- Free Hobby plan limited to 2 users and 30-day data retention
- Overage pricing applies beyond included units; graduated rates from $8.00 per 100k units down to $6.00 per 100k units at 50M+ volume
Pricing, plan by plan
Google Vertex AI
On requestNo published plan breakdown. See the Google Vertex AI review.
Langfuse
Free- HobbyFree
- 50k units/month
- 30-day data retention
- 2 users maximum
- Core$29/month
- 100k units/month
- 90-day data retention
- Unlimited users
- Pro$199/month
- 100k units/month
- 3-year data retention
- SOC2 & ISO27001 compliance
- Enterprise$2499/month
- Custom rate limits
- Dedicated support engineer
- SCIM API & audit logs
Which should you pick?
Choose Google Vertex AI if
- You need automl.
- You work on Cloud, Web.
- You also want custom training.
Questions people ask
- Is Google Vertex AI or Langfuse better?
- Neither clearly leads. Google Vertex AI starts at On request and Langfuse at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Google Vertex AI or Langfuse?
- Langfuse has a free tier; the other does not. Paid plans start at On request for Google Vertex AI and Free for Langfuse.
- Does Google Vertex AI or Langfuse run on more platforms?
- Google Vertex AI runs on Cloud, Web. Langfuse runs on Web.
- Can I use Langfuse for free?
- Yes. Langfuse 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 Langfuse is typically brought in for.
- What can Google Vertex AI do that Langfuse cannot?
- Google Vertex AI covers AutoML, Custom training, Feature Store, Model 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.
SourceLangfuse: What does Langfuse cost?
Langfuse starts at $29/month for the Core plan (100k units/month). Pro costs $199/month with 3-year data retention. Enterprise costs $2499/month for custom rate limits and dedicated support.
SourceGoogle 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.
SourceLangfuse: Does Langfuse have a free plan?
Yes, the Hobby plan is free with 50k units/month, 30-day data retention, and support for up to 2 users.
SourceGoogle 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.
SourceLangfuse: What happens if I exceed my unit limits on Langfuse?
Overage pricing applies with graduated rates: $8.00 per 100k units for 100k-1M units, $7.00 per 100k units for 1M-10M units, $6.50 per 100k units for 10M-50M units, and $6.00 per 100k units for 50M+ units.
SourceGoogle 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.
SourceLangfuse: Are there discounts available on Langfuse?
Early-stage startups receive 50% off the first year. Research and student accounts qualify for up to 100% off. Non-profits receive $199 monthly credits.
SourceRelated pages
More on Google Vertex AI
Other head to heads
- Google Vertex AI vs AWS SageMaker
- Google Vertex AI vs Azure Machine Learning
- Google Vertex AI vs DataRobot
- Google Vertex AI vs MLflow
- Google Vertex AI vs Snowflake
- Google Vertex AI vs Comet ML
- Google Vertex AI vs Jupyter
- Google Vertex AI vs LangChain
- Google Vertex AI vs Pinecone
- Google Vertex AI vs Python
- Google Vertex AI vs PyTorch
- Google Vertex AI vs scikit-learn
- Google Vertex AI vs Apache Spark MLlib
- Google Vertex AI vs Weaviate
- Google Vertex AI vs Weights & Biases
- Google Vertex AI vs Alteryx
- Google Vertex AI vs Anaconda
- Google Vertex AI vs Dataiku
- Google Vertex AI vs Cursor
- Google Vertex AI vs Windsurf
- Google Vertex AI vs Zed
- Google Vertex AI vs Amp
- Google Vertex AI vs Braintrust
- Google Vertex AI vs Codacy
- Google Vertex AI vs DeepSource
- Google Vertex AI vs Devin
- Google Vertex AI vs SonarQube Cloud
- Google Vertex AI vs Augment Code
- Google Vertex AI vs Baseten
- Google Vertex AI vs Drizzle ORM
- Google Vertex AI vs Flagsmith
- Google Vertex AI vs Unleash
- Google Vertex AI vs Bun
- Google Vertex AI vs Cline
- Google Vertex AI vs Factory
- Google Vertex AI vs Humanloop
- Langfuse vs AWS SageMaker
- Langfuse vs Azure Machine Learning
- Langfuse vs DataRobot
- Langfuse vs MLflow
- Langfuse vs Snowflake
- Langfuse vs Comet ML
- Langfuse vs Jupyter
- Langfuse vs LangChain
- Langfuse vs Pinecone
- Langfuse vs Python
- Langfuse vs PyTorch
- Langfuse vs scikit-learn
- Langfuse vs Apache Spark MLlib
- Langfuse vs Weaviate
- Langfuse vs Weights & Biases
- Langfuse vs Alteryx
- Langfuse vs Anaconda
- Langfuse vs Dataiku
- Langfuse vs Cursor
- Langfuse vs Windsurf
- Langfuse vs Zed
- Langfuse vs Amp
- Langfuse vs Braintrust
- Langfuse vs Codacy
- Langfuse vs DeepSource
- Langfuse vs Devin
- Langfuse vs SonarQube Cloud
- Langfuse vs Augment Code
- Langfuse vs Baseten
- Langfuse vs Drizzle ORM
- Langfuse vs Flagsmith
- Langfuse vs Unleash
- Langfuse vs Bun
- Langfuse vs Cline
- Langfuse vs Factory
- Langfuse vs Humanloop
