Machine Learning · head to head
BigQuery ML vs Veritone
BigQuery ML
Machine Learning
Machine learning in BigQuery using SQL
- From
- Free
- Free plan
- Yes
Veritone
AI
AI orchestration platform and applications for media archives, public safety evidence and advertising
- From
- On request
- Free plan
- No
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; Veritone nothing is publicly priced, and because consumption of the underlying AI engines is metered, the total cost of a large archive ingest is difficult to forecast before you have run one.
- They diverge on capability: BigQuery ML covers SQL-based ML, Veritone covers aiWARE orchestration.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which BigQuery ML and Veritone actually diverge.
| Attribute | BigQuery ML | Veritone |
|---|---|---|
| Starting price | Free | On request |
| Pricing model | usage-based | quote |
| Free tier | Yes | No |
| Platforms | Web | Web, API, Self-hosted |
| Category | Machine Learning | AI |
| 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 BigQuery ML
- SQL-based ML
- AutoML Tables
- Model export
- Prediction functions
- Feature preprocessing
- BigQuery
- Vertex AI
- TensorFlow
Only in Veritone
- aiWARE orchestration
- iDEMS
- Automated redaction
- Media archive indexing
- FedRAMP authorisation
- Advertising and content intelligence
- Voice and synthetic media
- Self-hosted deployment
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 Veritone
- Linear and logistic regression on warehouse datanot Veritone
- K-means clustering and matrix factorisation for recommendationsnot Veritone
- Time series forecasting with ARIMA_PLUSnot Veritone
- Running imported ONNX, TensorFlow or XGBoost models against BigQuery datanot Veritone
Veritone
- A police department buried in body camera footage that must be redacted before disclosure, where automated face and audio redaction converts weeks of manual work into review timenot BigQuery ML
- A broadcaster or sports rights holder that cannot find footage in its own archive and loses licensing revenue because searching it costs more than the clip earnsnot BigQuery ML
- A federal agency that needs AI processing inside an authorised boundary, where FedRAMP status decides the shortlist before capability doesnot BigQuery ML
- A media buyer wanting attribution on broadcast and podcast advertising that digital analytics tools cannot seenot 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
Veritone
- Nothing is publicly priced, and because consumption of the underlying AI engines is metered, the total cost of a large archive ingest is difficult to forecast before you have run one.
- The company is mid-restructure after divesting its media agency, with revenue guidance well below earlier expectations, so a buyer signing a multi-year evidence contract is taking corporate risk they can read in the public filings but cannot control.
- The orchestration proposition means Veritone sits between you and the model vendors, so when a specific engine underperforms on your content the remedy is a support case rather than switching provider yourself.
- The product portfolio spans law enforcement, broadcast, advertising and synthetic voice, which is a wide surface for one engineering organisation and means attention to any single application depends on where the revenue growth currently is.
- Automated redaction is a review aid, not a guarantee: an agency remains legally responsible for what is disclosed, so the staff time saved is smaller than the demonstration implies once verification is included.
Pricing, plan by plan
BigQuery ML
Free- Free TierFree
- 10GB storage
- 1TB queries
- On-Demand$5/TB
- Pay per TB scanned
- ML training costs
Veritone
On request- aiWARE platform$undefined/year
- Consumption-based use of the AI engine catalogue
- Enterprise licence, quoted
- Self-hosted and FedRAMP deployment options
- iDEMS$undefined/year
- Digital evidence management for law enforcement
- Automated redaction and disclosure workflow
- Quoted per agency, commonly on government contract vehicles
- Media and entertainment applications$undefined/year
- Archive indexing, monetisation and advertising intelligence
- Quoted
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 Veritone if
- You need aiware orchestration.
- You work on Web, API, Self-hosted.
- You also want idems.
Questions people ask
- Is BigQuery ML or Veritone better?
- Neither clearly leads. BigQuery ML starts at Free and Veritone at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, BigQuery ML or Veritone?
- BigQuery ML has a free tier; the other does not. Paid plans start at Free for BigQuery ML and On request for Veritone.
- Does BigQuery ML or Veritone run on more platforms?
- BigQuery ML runs on Web. Veritone runs on Web, API, Self-hosted.
- Can I use BigQuery ML for free?
- Yes. BigQuery ML has a free tier, so you can try it without paying. Veritone 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 Veritone is typically brought in for.
- What can BigQuery ML do that Veritone cannot?
- BigQuery ML covers SQL-based ML, AutoML Tables, Model export, Prediction functions. Veritone covers aiWARE orchestration, iDEMS, Automated redaction, Media archive indexing.
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.
SourceVeritone: What do you actually buy from Veritone?
An application, most often iDEMS for digital evidence or a media archive product. aiWARE is the platform underneath, and it is rarely purchased on its own outside enterprise and government deals.
BigQuery 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.
SourceVeritone: Is pricing published?
No. Everything is quoted, and platform use is metered by consumption of the underlying AI engines, which makes forecasting a large ingest difficult.
Veritone: Is it approved for US government use?
aiWARE holds FedRAMP authorisation and can be deployed into self-hosted government tenants, which is frequently the reason it reaches a public sector shortlist.
Veritone: Did Veritone sell its advertising agency?
Yes. Veritone One was divested in 2024 for up to $104 million, and the remaining company is focused on enterprise AI software and licensing.
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- Veritone vs D-ID
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- Veritone vs Copy.ai
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- Veritone vs LangGraph
- Veritone vs Resemble AI
- Veritone vs Rev
- Veritone vs NotebookLM
- Veritone vs Poe
- Veritone vs Poolside
- Veritone vs QuillBot
- Veritone vs RunPod
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