Technology · head to head
Amplitude vs BigQuery ML

Amplitude
Technology
The digital analytics platform to understand your users
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Amplitude metered on event volume, so instrumenting more of a product raises the bill even if the audience does not grow; BigQuery ML not available in BigQuery's Standard edition, so the cheapest tier cannot use it
- They diverge on capability: Amplitude covers Event tracking, BigQuery ML covers SQL-based ML.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Amplitude and BigQuery ML actually diverge.
| Attribute | Amplitude | BigQuery ML |
|---|---|---|
| Pricing model | Unknown | usage-based |
| Platforms | Web, Ios, Android, Api | Web |
| Category | Technology | Machine Learning |
| Founded | 2012 | 2008 |
Identical on both: starting price (Free), free tier (Yes), 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 Amplitude
- Event tracking
- User segmentation
- Funnel analysis
- Retention analysis
- Cohort analysis
- A/B testing
- Revenue analytics
- Predictive analytics
Only in BigQuery ML
- SQL-based ML
- AutoML Tables
- Model export
- Prediction functions
- Feature preprocessing
- Vertex AI
- TensorFlow
- Cloud Storage
Both cover
- BigQuery
What people use each for
The jobs each tool is most often brought in to do.
Amplitude
- User behavior analysisnot BigQuery ML
- Feature adoption trackingnot BigQuery ML
- Conversion rate optimizationnot BigQuery ML
- Customer journey mappingnot BigQuery ML
- Retention improvementnot BigQuery ML
BigQuery ML
- Training models in SQL without exporting datanot Amplitude
- Linear and logistic regression on warehouse datanot Amplitude
- K-means clustering and matrix factorisation for recommendationsnot Amplitude
- Time series forecasting with ARIMA_PLUSnot Amplitude
- Running imported ONNX, TensorFlow or XGBoost models against BigQuery datanot Amplitude
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Amplitude
- Metered on event volume, so instrumenting more of a product raises the bill even if the audience does not grow
- The free plan covers 2M events a month
- The Plus plan scales to 70M events, above which pricing is custom
- Growth and Enterprise pricing is not published
BigQuery ML
- Not available in BigQuery's Standard edition, so the cheapest tier cannot use it
- Billed through BigQuery compute and storage rather than as its own product, so training cost tracks data scanned
- Remote models incur extra Agent Platform charges on top
- Externally trained model types such as boosted trees and AutoML run through Agent Platform rather than inside BigQuery
Pricing, plan by plan
Amplitude
Free- StarterFree
- 2 million events per month
- Plus$49/month
- $0.049 per MTU
- Up to 300k MTUs
- Advanced analytics
- GrowthFree
- Causal insights
- Feature experimentation
- Real-time streaming
- EnterpriseFree
- Cross-product analysis
- Advanced permissions
- Dedicated account manager
BigQuery ML
Free- Free TierFree
- 10GB storage
- 1TB queries
- On-Demand$5/TB
- Pay per TB scanned
- ML training costs
Which should you pick?
Choose Amplitude if
- You need event tracking.
- You want to start without paying.
- You work on Web, Ios, Android, Api.
- You also want user segmentation.
Choose BigQuery ML if
- You need sql-based ml.
- You want to start without paying.
- You also want automl tables.
Questions people ask
- Is Amplitude or BigQuery ML better?
- Neither clearly leads. Amplitude starts at Free and BigQuery ML at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Amplitude or BigQuery ML?
- Amplitude starts at Free and BigQuery ML at Free.
- Does Amplitude or BigQuery ML run on more platforms?
- Amplitude runs on Web, Ios, Android, Api. BigQuery ML runs on Web.
- Can I use Amplitude for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Amplitude best used for?
- Amplitude is most often used for user behavior analysis, feature adoption tracking, conversion rate optimization, customer journey mapping. Of those, user behavior analysis and feature adoption tracking are not what BigQuery ML is typically brought in for.
- What can Amplitude do that BigQuery ML cannot?
- Amplitude covers Event tracking, User segmentation, Funnel analysis, Retention analysis. BigQuery ML covers SQL-based ML, AutoML Tables, Model export, Prediction functions. Both handle BigQuery.
Answered from the vendors’ own pages
Amplitude: Does Amplitude have a free plan?
Yes, Amplitude offers a free Starter plan with 2 million events per month and access to the entire platform including analytics, session replay, and experimentation features.
SourceBigQuery ML: How much does Google Cloud BigQuery ML cost?
BigQuery ML pricing is not specified separately on Google Cloud's pricing page. It follows the same pay-as-you-go model as BigQuery, charging per terabyte of data scanned during analysis. Customers receive $300 in free credits and can use 20+ products free up to monthly limits.
SourceAmplitude: What is Amplitude's pricing based on?
Amplitude's pricing is based on the number of monthly tracked users (MTUs), data volume, and advanced features selected. The Plus plan starts at $49 per month with a rate of $0.049 per MTU.
SourceBigQuery ML: Does Google Cloud offer a free trial?
Yes, new customers get $300 in free credits and all customers can use 20+ Google Cloud products free up to their monthly usage limits.
SourceAmplitude: What analytics features does every Amplitude plan include?
Every plan includes access to the full platform: analytics, session replay, feature experimentation, web experimentation, guides and surveys, activation, and AI tools like AI Feedback and AI Assistant.
SourceRelated pages
More on BigQuery ML
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- BigQuery ML vs etcd
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- BigQuery ML vs Azure Machine Learning
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- BigQuery ML vs Palantir Foundry
- BigQuery ML vs Apache Spark MLlib
- BigQuery ML vs Hugging Face
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- BigQuery ML vs LlamaIndex
- BigQuery ML vs Milvus
- BigQuery ML vs Neptune.ai
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