Machine Learning · head to head
BigQuery ML vs ProfitWell
The short version
- Each has a real cost: BigQuery ML not available in BigQuery's Standard edition, so the cheapest tier cannot use it; ProfitWell profitWell is now part of Paddle and its pricing page redirects to paddle.com, so it is no longer sold or priced independently
- They diverge on capability: BigQuery ML covers SQL-based ML, ProfitWell covers Free Metrics.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which BigQuery ML and ProfitWell actually diverge.
| Attribute | BigQuery ML | ProfitWell |
|---|---|---|
| Pricing model | usage-based | freemium |
| Platforms | Web | Web, Api |
| Category | Machine Learning | Business Intelligence |
| Founded | 2008 | 2012 |
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 BigQuery ML
- SQL-based ML
- AutoML Tables
- Model export
- Prediction functions
- Feature preprocessing
- BigQuery
- Vertex AI
- TensorFlow
Only in ProfitWell
- Free Metrics
- Churn Reduction
- Price Optimization
- Revenue Recognition
- Benchmarking
- Stripe
- Chargebee
- Recurly
Both cover
- Web support
What people use each for
The jobs each tool is most often brought in to do.
BigQuery ML
- Training models in SQL without exporting datanot ProfitWell
- Linear and logistic regression on warehouse datanot ProfitWell
- K-means clustering and matrix factorisation for recommendationsnot ProfitWell
- Time series forecasting with ARIMA_PLUSnot ProfitWell
- Running imported ONNX, TensorFlow or XGBoost models against BigQuery datanot ProfitWell
ProfitWell
- Subscription revenue metrics and churn reportingnot BigQuery ML
- Recovering failed payments and reducing involuntary churnnot BigQuery ML
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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
ProfitWell
- ProfitWell is now part of Paddle and its pricing page redirects to paddle.com, so it is no longer sold or priced independently
- Reaching any figure requires going through Paddle's own pricing rather than a ProfitWell rate card
Pricing, plan by plan
BigQuery ML
Free- Free TierFree
- 10GB storage
- 1TB queries
- On-Demand$5/TB
- Pay per TB scanned
- ML training costs
ProfitWell
Free- Free MetricsFree
- Revenue Metrics
- Dashboards
- Basic Reports
- RetainFree
- Churn Reduction
- Payment Recovery
- Custom Pricing
Which should you pick?
Choose BigQuery ML if
- You need sql-based ml.
- You want to start without paying.
- You also want automl tables.
Choose ProfitWell if
- You need free metrics.
- You want to start without paying.
- You work on Web, Api.
- You also want churn reduction.
Questions people ask
- Is BigQuery ML or ProfitWell better?
- Neither clearly leads. BigQuery ML starts at Free and ProfitWell at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, BigQuery ML or ProfitWell?
- BigQuery ML starts at Free and ProfitWell at Free.
- Does BigQuery ML or ProfitWell run on more platforms?
- BigQuery ML runs on Web. ProfitWell runs on Web, Api.
- Can I use BigQuery ML for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is BigQuery ML best used for?
- BigQuery ML is most often used for training models in sql without exporting data, linear and logistic regression on warehouse data, k-means clustering and matrix factorisation for recommendations, time series forecasting with arima_plus. Of those, training models in sql without exporting data and linear and logistic regression on warehouse data are not what ProfitWell is typically brought in for.
- What can BigQuery ML do that ProfitWell cannot?
- BigQuery ML covers SQL-based ML, AutoML Tables, Model export, Prediction functions. ProfitWell covers Free Metrics, Churn Reduction, Price Optimization, Revenue Recognition. Both handle Web support.
Answered from the vendors’ own pages
BigQuery 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.
SourceProfitWell: Is ProfitWell still available as a standalone product?
ProfitWell has been integrated into Paddle. The ProfitWell Metrics analytics tool is now part of Paddle's suite and is available at no cost.
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.
SourceProfitWell: What is Paddle's standard pricing model?
Paddle charges 5% plus 50 cents per checkout transaction on its standard pay-as-you-go plan. Custom pricing is available for products under $10 or for customers requiring invoicing.
SourceProfitWell: What is included in Paddle's all-inclusive pricing?
Paddle's standard plan includes tax and compliance, unified billing, churn prevention tools, fraud protection, and 24/7 customer support. No separate monthly or hidden fees apply.
SourceProfitWell: What is the minimum spend required for Paddle's enterprise plan?
Paddle offers custom enterprise pricing with negotiated rates for scaling and established businesses. Customers receive tailored pricing aligned with their business model and access to premium support and advisory services.
SourceRelated pages
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- ProfitWell vs Apache Spark MLlib
- ProfitWell vs Hugging Face
- ProfitWell vs Kubeflow
- ProfitWell vs Langwatch
- ProfitWell vs LlamaIndex
- ProfitWell vs Milvus
- ProfitWell vs Neptune.ai
- ProfitWell vs Amazon Redshift ML
- ProfitWell vs MicroStrategy
- ProfitWell vs Power BI
- ProfitWell vs Sisense
- ProfitWell vs Amazon QuickSight
- ProfitWell vs Baremetrics
- ProfitWell vs ChartMogul
- ProfitWell vs Google Data Studio
- ProfitWell vs Stripe Dashboard
- ProfitWell vs Klipfolio
- ProfitWell vs Oracle Analytics Cloud
- ProfitWell vs Zoho Analytics
- ProfitWell vs Board International
- ProfitWell vs Lightdash
- ProfitWell vs Mode
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