Machine Learning · head to head
BigQuery ML vs Rev
BigQuery ML
Machine Learning
Machine learning in BigQuery using SQL
- From
- Free
- Free plan
- Yes
Rev
AI
Human and AI transcription, captions and subtitles priced per minute
- From
- Free
- Free plan
- Yes
The short version
- Each has a real cost: BigQuery ML not available in BigQuery's Standard edition, so the cheapest tier cannot use it; Rev human transcription at 1.99 US dollars a minute means roughly 120 dollars an hour of audio, so a long-form interview series costs more in transcription than most teams assume before they run the arithmetic.
- They diverge on capability: BigQuery ML covers SQL-based ML, Rev covers Human transcription.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which BigQuery ML and Rev actually diverge.
| Attribute | BigQuery ML | Rev |
|---|---|---|
| Pricing model | usage-based | Per minute for human work, per seat per month for AI |
| Platforms | Web | Web, iOS, Android, API |
| Category | Machine Learning | AI |
| Founded | 2008 | Unknown |
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 Rev
- Human transcription
- AI transcription
- Captions and subtitles
- Legal transcripts
- File analysis
- Clio integration
- Rev API
- Speaker identification
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 Rev
- Linear and logistic regression on warehouse datanot Rev
- K-means clustering and matrix factorisation for recommendationsnot Rev
- Time series forecasting with ARIMA_PLUSnot Rev
- Running imported ONNX, TensorFlow or XGBoost models against BigQuery datanot Rev
Rev
- A law firm that needs a deposition transcript in a court-acceptable page format with a fixed turnaround and a published per-page price it can bill to a matter.not BigQuery ML
- A documentary or podcast producer costing a project in advance, because human transcription at a published per-minute rate makes the transcription line item a known number.not BigQuery ML
- A broadcaster needing compliant human captions rather than machine captions, where accuracy is a regulatory requirement and not a convenience.not BigQuery ML
- A team with high AI volume and occasional high-stakes files, using the subscription for the bulk and paying the discounted human rate only where accuracy matters.not 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
Rev
- Human transcription at 1.99 US dollars a minute means roughly 120 dollars an hour of audio, so a long-form interview series costs more in transcription than most teams assume before they run the arithmetic.
- AI minutes are allocated per seat per month and do not roll over, so bursty workloads, which is how most media production actually behaves, waste allowance in quiet months and run out in busy ones.
- The product direction has moved towards legal and investigative use, so a newsroom or media buyer is choosing a tool whose roadmap priority sits elsewhere.
- Foreign-language subtitles are priced from 6.49 to 15.99 US dollars per minute, an order of magnitude above transcription, which makes multi-language localisation of any volume of video expensive enough to change the plan.
- Human turnaround is stated in hours rather than guaranteed contractually on the published plans, so a hard broadcast or filing deadline needs an agreement beyond the standard terms.
Pricing, plan by plan
BigQuery ML
Free- Free TierFree
- 10GB storage
- 1TB queries
- On-Demand$5/TB
- Pay per TB scanned
- ML training costs
Rev
Free- FreeFree
- 45 AI transcription and caption minutes per month
- Up to 5 files analysed
- No human transcription included
- Essentials$25.49/month
- 5,000 AI minutes per seat per month
- Up to 3 seats
- 10 per cent discount on human transcription, captions and subtitles
- Pro$47.99/month
- 10,000 AI minutes per seat per month
- Up to 5 seats
- 15 per cent discount on human work
- Unlimited$undefined/month
- Unlimited AI minutes
- Up to 500 files analysed at once
- Dedicated account specialist
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 Rev if
- You need human transcription.
- You want to start without paying.
- You work on Web, iOS, Android, API.
- You also want ai transcription.
Questions people ask
- Is BigQuery ML or Rev better?
- Neither clearly leads. BigQuery ML starts at Free and Rev at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, BigQuery ML or Rev?
- BigQuery ML starts at Free and Rev at Free.
- Does BigQuery ML or Rev run on more platforms?
- BigQuery ML runs on Web. Rev runs on Web, iOS, Android, 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 Rev is typically brought in for.
- What can BigQuery ML do that Rev cannot?
- BigQuery ML covers SQL-based ML, AutoML Tables, Model export, Prediction functions. Rev covers Human transcription, AI transcription, Captions and subtitles, Legal transcripts.
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.
SourceRev: How much is human transcription?
1.99 US dollars per minute with a stated accuracy target above 99 per cent, typically returned within 12 hours. Subscribers get 10 to 15 per cent off.
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.
SourceRev: Is there a free tier?
Yes, 45 AI minutes per month and up to 5 files analysed, with no human transcription included.
Rev: Do unused AI minutes roll over?
No. The allowance is per seat per month and resets, which penalises irregular workloads.
Rev: Can it do subtitles in other languages?
Yes, across seventeen languages, priced from 6.49 to 15.99 US dollars per minute, considerably more than transcription.
Rev: Is Rev still a good choice for newsrooms?
It works, but the subscription tiers are now positioned around legal and investigative workflows, so a newsroom should compare it against a tool built specifically for journalism.
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- Rev vs Weka
- Rev vs MATLAB
- Rev vs Palantir Foundry
- Rev vs Apache Spark MLlib
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- Rev vs Dask
- Rev vs Groq
- Rev vs Haystack
- Rev vs IBM SPSS
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- Rev vs Verbit
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- Rev vs Deepgram
- Rev vs Lindy
- Rev vs Copy.ai
- Rev vs Ideogram
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- Rev vs Rytr
- Rev vs Avathon
- Rev vs DeepSeek
- Rev vs Grok
- Rev vs LatchBio
- Rev vs Copilotly
- Rev vs CoreWeave
- Rev vs ElevenLabs
- Rev vs Gumloop