Machine Learning · head to head
BigQuery ML vs Quantum Metric

Quantum Metric
Business Intelligence
Continuous product design platform
- From
- On request
- Rated
- -
The short version
- Only BigQuery ML has a free tier, so it costs nothing to try first.
- Each has a real cost: BigQuery ML not available in BigQuery's Standard edition, so the cheapest tier cannot use it; Quantum Metric only enterprise plans are offered and the pricing page publishes no rate, no session volume tier and no minimum
- They diverge on capability: BigQuery ML covers SQL-based ML, Quantum Metric covers Session Replay.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which BigQuery ML and Quantum Metric actually diverge.
| Attribute | BigQuery ML | Quantum Metric |
|---|---|---|
| Starting price | Free | On request |
| Pricing model | usage-based | subscription |
| Free tier | Yes | No |
| Platforms | Web | Web, Mobile |
| Category | Machine Learning | Business Intelligence |
| Founded | 2008 | 2015 |
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 BigQuery ML
- SQL-based ML
- AutoML Tables
- Model export
- Prediction functions
- Feature preprocessing
- BigQuery
- Vertex AI
- TensorFlow
Only in Quantum Metric
- Session Replay
- Opportunity Analysis
- Anomaly Detection
- Real-time Alerts
- Impact Scoring
- Adobe Analytics
- Google Analytics
- Salesforce
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 Quantum Metric
- Linear and logistic regression on warehouse datanot Quantum Metric
- K-means clustering and matrix factorisation for recommendationsnot Quantum Metric
- Time series forecasting with ARIMA_PLUSnot Quantum Metric
- Running imported ONNX, TensorFlow or XGBoost models against BigQuery datanot Quantum Metric
Quantum Metric
- Session replay and digital experience analytics for large web and mobile propertiesnot BigQuery ML
- Quantifying friction and conversion loss in checkout and signup flowsnot BigQuery ML
- Streaming behavioural insights into a data warehousenot 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
Quantum Metric
- Only enterprise plans are offered and the pricing page publishes no rate, no session volume tier and no minimum
- The page states plans are built around your business, with the only routes being a personalised discussion, a live demo or product tours
- There is no self-serve tier, free plan or trial published
Pricing, plan by plan
BigQuery ML
Free- Free TierFree
- 10GB storage
- 1TB queries
- On-Demand$5/TB
- Pay per TB scanned
- ML training costs
Quantum Metric
On request- CustomFree
- Full Platform
- Real-time Analytics
- Enterprise Support
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 Quantum Metric if
- You need session replay.
- You work on Web, Mobile.
- You also want opportunity analysis.
Questions people ask
- Is BigQuery ML or Quantum Metric better?
- Neither clearly leads. BigQuery ML starts at Free and Quantum Metric at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, BigQuery ML or Quantum Metric?
- BigQuery ML has a free tier; the other does not. Paid plans start at Free for BigQuery ML and On request for Quantum Metric.
- Does BigQuery ML or Quantum Metric run on more platforms?
- BigQuery ML runs on Web. Quantum Metric runs on Web, Mobile.
- Can I use BigQuery ML for free?
- Yes. BigQuery ML has a free tier, so you can try it without paying. Quantum Metric starts at On request.
- 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 Quantum Metric is typically brought in for.
- What can BigQuery ML do that Quantum Metric cannot?
- BigQuery ML covers SQL-based ML, AutoML Tables, Model export, Prediction functions. Quantum Metric covers Session Replay, Opportunity Analysis, Anomaly Detection, Real-time Alerts. 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.
SourceQuantum Metric: How much does Quantum Metric cost?
Quantum Metric uses custom pricing based on annual session volume, number of digital properties monitored, and product add-ons. Exact costs require contacting the sales team.
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.
SourceQuantum Metric: Does Quantum Metric offer a free trial?
The pricing page does not mention a free trial option. Interested parties must request a demo to discuss pricing and obtain a custom quote.
SourceQuantum Metric: What factors affect Quantum Metric pricing?
Pricing scales with digital properties (websites and applications monitored), session volume (data collected and analyzed), and customer success tier selected. Add-on products like employee experience, data enrichment, and data streaming have separate pricing considerations.
SourceRelated pages
More on BigQuery ML
More on Quantum Metric
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- Quantum Metric vs AWS SageMaker
- Quantum Metric vs Azure Machine Learning
- Quantum Metric vs DataRobot
- Quantum Metric vs Databricks
- Quantum Metric vs SAS
- Quantum Metric vs scikit-learn
- Quantum Metric vs Snowflake
- Quantum Metric vs Weka
- Quantum Metric vs MATLAB
- Quantum Metric vs Palantir Foundry
- Quantum Metric vs Apache Spark MLlib
- Quantum Metric vs Hugging Face
- Quantum Metric vs Kubeflow
- Quantum Metric vs Langwatch
- Quantum Metric vs LlamaIndex
- Quantum Metric vs Milvus
- Quantum Metric vs Neptune.ai
- Quantum Metric vs Amazon Redshift ML
- Quantum Metric vs Sisense
- Quantum Metric vs MicroStrategy
- Quantum Metric vs Power BI
- Quantum Metric vs Amazon QuickSight
- Quantum Metric vs Glassbox
- Quantum Metric vs GoodData
- Quantum Metric vs Dundas BI
- Quantum Metric vs Anaplan
- Quantum Metric vs IBM Cognos Analytics
- Quantum Metric vs Oracle Analytics Cloud
- Quantum Metric vs SAP BusinessObjects
- Quantum Metric vs ChartMogul
- Quantum Metric vs Board International
- Quantum Metric vs Cabin
- Quantum Metric vs Celonis
- Quantum Metric vs Chartio
- Quantum Metric vs Cyfe

